This page has only limited features, please log in for full access.

Dr. Mehdi Seyedmahmoudian
School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Victoria, Australia

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 Renewable Energy Systems
0 Energy Management Systems
0 Smart grids and microgrids
0 Electric vehicle – Battery
0 Electric Power train

Fingerprints

Renewable Energy Systems
Electric vehicle – Battery

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

Mehdi Seyedmahmoudian received the B.Sc., M.Eng., and Ph.D. degrees in electrical engineering. He was the Deputy Director of the Virtual Reality Research Lab and the Course Coordinator of Mechatronics Engineering with the School of Engineering, Deakin University, Australia. He is currently an Associate Professor and the Director of Research with the School of Software and Electrical Engineering, Swinburne University of Technology, Australia. His research interests include renewable energy systems, smart grid and microgrid systems, and the application of emerging technologies in green renewable energy development.

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 27 August 2021 in Energies
Reads 0
Downloads 0

Electric vehicles’ (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support of electric vehicles (EVs). However, there have been serious concerns about the network’s safe and reliable operation due to the increasing penetration of EVs into the electric grid. Random or uncoordinated charging activities cause performance degradations and overloading of the network asset. This paper proposes an Optimal Charging Starting Time (OCST)-based coordinated charging algorithm for unplanned EVs’ arrival in a low voltage residential distribution network to minimize the network power losses. A time-of-use (ToU) tariff scheme is used to make the charging course more cost effective. The concept of OCST takes the departure time of EVs into account and schedules the overnight charging event in such a way that minimum network losses are obtained, and EV customers take more advantages of cost-effective tariff zones of ToU scheme. An optimal solution is obtained by employing Binary Evolutionary Programming (BEP). The proposed algorithm is tested on IEEE-31 bus distribution system connected to numerous low voltage residential feeders populated with different EVs’ penetration levels. The results obtained from the coordinated EV charging without OCST are compared with those employing the concept of OCST. The results verify that incorporation of OCST can significantly reduce network power losses, improve system voltage profile and can give more benefits to the EV customers by accommodating them into low-tariff zones.

ACS Style

Muhammad Usman; Wajahat Ullah Khan Tareen; Adil Amin; Haider Ali; Inam Bari; Muhammad Sajid; Mehdi Seyedmahmoudian; Alex Stojcevski; Anzar Mahmood; Saad Mekhilef. A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization. Energies 2021, 14, 5336 .

AMA Style

Muhammad Usman, Wajahat Ullah Khan Tareen, Adil Amin, Haider Ali, Inam Bari, Muhammad Sajid, Mehdi Seyedmahmoudian, Alex Stojcevski, Anzar Mahmood, Saad Mekhilef. A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization. Energies. 2021; 14 (17):5336.

Chicago/Turabian Style

Muhammad Usman; Wajahat Ullah Khan Tareen; Adil Amin; Haider Ali; Inam Bari; Muhammad Sajid; Mehdi Seyedmahmoudian; Alex Stojcevski; Anzar Mahmood; Saad Mekhilef. 2021. "A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization." Energies 14, no. 17: 5336.

Journal article
Published: 13 August 2021 in Energies
Reads 0
Downloads 0

Expeditious urbanization and rapid industrialization have significantly influenced the rise of energy demand globally in the past two decades. Solar energy is considered a vital energy source that addresses this demand in a cost-effective and environmentally friendly manner. Improving solar cell efficiency is considered a prerequisite to reinforcing silicon solar cells’ growth in the energy market. In this study, the influence of various parameters like the thickness of the absorber or wafer, doping concentration, bulk resistivity, lifetime, and doping levels of the emitter and back surface field, along with the surface recombination velocity (front and back) on solar cell efficiency was investigated using PC1D simulation software. Inferences from the results indicated that the bulk resistivity of 1 Ω·cm; bulk lifetime of 2 ms; emitter (n+) doping concentration of 1×1020 cm3 and shallow back surface field doping concentration of 1×1018 cm3; surface recombination velocity maintained in the range of 102 and 103 cm/s obtained a solar cell efficiency of 19%. The Simulation study presented in this article allows faster, simpler, and easier impact analysis of the design considerations on the Si solar cell wafer fabrications with increased performance.

ACS Style

Gokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Jaideep Chandran; Alex Stojcevski; Maruthamuthu Subramanian; Raj Marnadu; S. Alfaify; Mohd. Shkir. Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation. Energies 2021, 14, 4986 .

AMA Style

Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, Jaideep Chandran, Alex Stojcevski, Maruthamuthu Subramanian, Raj Marnadu, S. Alfaify, Mohd. Shkir. Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation. Energies. 2021; 14 (16):4986.

Chicago/Turabian Style

Gokul Sidarth Thirunavukkarasu; Mehdi Seyedmahmoudian; Jaideep Chandran; Alex Stojcevski; Maruthamuthu Subramanian; Raj Marnadu; S. Alfaify; Mohd. Shkir. 2021. "Optimization of Mono-Crystalline Silicon Solar Cell Devices Using PC1D Simulation." Energies 14, no. 16: 4986.

Journal article
Published: 03 August 2021 in Energies
Reads 0
Downloads 0

The component count for the multilevel inverter has been a research topic for the last few decades. The higher number of power semiconductor devices and sources leads to a higher power loss with the complex control requirement. A new multilevel inverter topology employing the concept of half-Bridge modules is suggested in this paper. It requires a lower number of dc sources and power components. The inverter is controlled using a fundamental frequency switching scheme. With the basic unit being able to produce 13 level voltage waveforms with three dc voltage sources, higher-level inverter configuration has also been discussed in the paper. The performance of the topology is analyzed in the aspects of circuit parameters and found better when compared to similar topologies proposed in recent literature. The comparison provided in the paper set the benchmark of the proposed topology in terms of lower component requirements. The topology is also optimized with two voltage fixing algorithms for maximizing the number of levels for the given number of IGBTs, drivers and dc sources, and the observations are presented. The efficiency analysis gives the peak efficiency as 98.5%. The simulations were carried out using the PLECS software tool and validated using a prototype rated at 500 W. The results with several test conditions have been reported and discussed in the paper.

ACS Style

Muhyaddin Rawa; Prem P; Jagabar Mohamed Ali; Marif Siddique; Saad Mekhilef; Addy Wahyudie; Mehdi Seyedmahmoudian; Alex Stojcevski. A New Multilevel Inverter Topology with Reduced DC Sources. Energies 2021, 14, 4709 .

AMA Style

Muhyaddin Rawa, Prem P, Jagabar Mohamed Ali, Marif Siddique, Saad Mekhilef, Addy Wahyudie, Mehdi Seyedmahmoudian, Alex Stojcevski. A New Multilevel Inverter Topology with Reduced DC Sources. Energies. 2021; 14 (15):4709.

Chicago/Turabian Style

Muhyaddin Rawa; Prem P; Jagabar Mohamed Ali; Marif Siddique; Saad Mekhilef; Addy Wahyudie; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "A New Multilevel Inverter Topology with Reduced DC Sources." Energies 14, no. 15: 4709.

Journal article
Published: 29 June 2021 in Sustainability
Reads 0
Downloads 0

In view of the problem of e-commerce scams and the absence of haptic interaction, this research aims to introduce and create a tele-weight device for e-commerce shopping in smart cities. The objective is to use the proposed prototype to provide a brief overview of the possible technological advancements. When the tele-weight device is affixed over the head-mounted display, it allows the user to feel the item’s weight while shopping in the virtual store. Addressing the problem of having no physical interaction between the user (player) and a series game scene in virtual reality (VR) headsets, this research approach focuses on creating a prototype device that has two parts, a sending part and a receiving part. The sending part measures the weight of the object and transmits it over the cellular network to the receiver side. The virtual store user at the receiving side can thus realize the weight of the ordered object. The findings from this work include a visual display of the item’s weight to the virtual store e-commerce user. By introducing sustainability, this haptic technology-assisted technique can help the customer realize the weight of an object and thus have a better immersive experience. In the device, the load cell measures the weight of the object and amplifies it using the HX711 amplifier. However, some delay in the demonstration of the weight was observed during experimentation, and this indirectly altered the performance of the system. One set of the device is sited at the virtual store user premises while the sending end of the device is positioned at the warehouse. The sending end hardware includes an Arduino Uno device, an HX711 amplifier chip to amplify the weight from the load cell, and a cellular module (Sim900A chip-based) to transmit the weight in the form of an encoded message. The receiving end hardware includes a cellular module and an actuator involving a motor gear arrangement to demonstrate the weight of the object. Combining the fields of e-commerce, embedded systems, VR, and haptic sensing, this research can help create a more secure marketplace to attain a higher level of customer satisfaction.

ACS Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores. Sustainability 2021, 13, 7253 .

AMA Style

Aqeel Farooq, Mehdi Seyedmahmoudian, Ben Horan, Saad Mekhilef, Alex Stojcevski. Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores. Sustainability. 2021; 13 (13):7253.

Chicago/Turabian Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2021. "Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores." Sustainability 13, no. 13: 7253.

Review
Published: 10 June 2021 in Science of The Total Environment
Reads 0
Downloads 0

The combined trends of urban heat island (UHI) intensification and global warming led to an increased tendency towards on the greening of cities as a tool for UHI mitigation. Our study examines the range of research approaches and findings regarding the role of green roofs in mitigating urban heat and enhancing human comfort. This review provides an overview of 89 studies conducted in three main climate types (hot–humid, temperate, and dry), from 2000 till 2020. All of the reviewed studies confirm the cooling effect of green roofs and its contribution to reduced heat island intensity regardless of the background climatic condition. However, dry climate has the highest (3 °C) median cooling effect of green roofs among all the climates investigated. Hot–humid climate presents the lowest cooling potential (median = 1 °C) of green roofs among all the climate types. Moreover, green roofs contribute a median surface temperature reduction of 30 °C in hot–humid cities. This value is relatively low for temperate climates (28 °C). Notably, no study has examined the impact of green roofs on surface temperature reduction in dry climates. This review can benefit urban planners and various stakeholders.

ACS Style

Elmira Jamei; Hing Wah Chau; Mehdi Seyedmahmoudian; Alex Stojcevski. Review on the cooling potential of green roofs in different climates. Science of The Total Environment 2021, 791, 148407 .

AMA Style

Elmira Jamei, Hing Wah Chau, Mehdi Seyedmahmoudian, Alex Stojcevski. Review on the cooling potential of green roofs in different climates. Science of The Total Environment. 2021; 791 ():148407.

Chicago/Turabian Style

Elmira Jamei; Hing Wah Chau; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "Review on the cooling potential of green roofs in different climates." Science of The Total Environment 791, no. : 148407.

Review
Published: 20 May 2021 in Sustainability
Reads 0
Downloads 0

Physical activity is connected to public health in many ways, and walking is its most popular form. Modern planning models have been applied to cities to manage rapid urban expansions. However, this practice has led to low level of walkability and strong car-dependency in today’s cities. Hence, this study aims to provide a review of the most promising urban design parameters affecting walkability, using Frank Lawrence’s theory of “Objectively Measured Urban Form” (density, connectivity and accessibility, and mixed-use development) as the basis of discussion. The second part of this paper takes a case study approach, through discussing the main design elements of traditional Iranian cities (mosques, bazaars, residential quarters, and alleyways) and analyses their impacts on promoting walkability. This study concludes that incorporating inherent values of traditional urban design elements will complement modern planning and design practices.

ACS Style

Elmira Jamei; Khatereh Ahmadi; Hing Chau; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities. Sustainability 2021, 13, 5731 .

AMA Style

Elmira Jamei, Khatereh Ahmadi, Hing Chau, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities. Sustainability. 2021; 13 (10):5731.

Chicago/Turabian Style

Elmira Jamei; Khatereh Ahmadi; Hing Chau; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "Urban Design and Walkability: Lessons Learnt from Iranian Traditional Cities." Sustainability 13, no. 10: 5731.

Review
Published: 08 March 2021 in Applied Sciences
Reads 0
Downloads 0

Continuous delivery is an industry software development approach that aims to reduce the delivery time of software and increase the quality assurance within a short development cycle. The fast delivery and improved quality require continuous testing of the developed software service. Testing services are complicated and costly and postponed to the end of development due to unavailability of the requisite services. Therefore, an empirical approach that has been utilised to overcome these challenges is to automate software testing by virtualising the requisite services’ behaviour for the system being tested. Service virtualisation involves analysing the behaviour of software services to uncover their external behaviour in order to generate a light-weight executable model of the requisite services. There are different research areas which can be used to create such a virtual model of services from network interactions or service execution logs, including message format extraction, inferring control model, data model and multi-service dependencies. This paper reviews the state-of-the-art of how these areas have been used in automating the service virtualisation to make available the required environment for testing software. This paper provides a review of the relevant research within these four fields by carrying out a structured study on about 80 research works. These studies were then categorised according to their functional context as, extracting the message format, control model, data model and multi-service dependencies that can be employed to automate the service virtualisation activity. Based on our knowledge, this is the first structural review paper in service virtualisation fields.

ACS Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. A Review on the Service Virtualisation and Its Structural Pillars. Applied Sciences 2021, 11, 2381 .

AMA Style

Zeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski. A Review on the Service Virtualisation and Its Structural Pillars. Applied Sciences. 2021; 11 (5):2381.

Chicago/Turabian Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "A Review on the Service Virtualisation and Its Structural Pillars." Applied Sciences 11, no. 5: 2381.

Journal article
Published: 03 March 2021 in Applied Sciences
Reads 0
Downloads 0

In this paper, a novel deep neural network-based energy prediction algorithm for accurately forecasting the day-ahead hourly energy consumption profile of a residential building considering occupancy rate is proposed. Accurate estimation of residential load profiles helps energy providers and utility companies develop an optimal generation schedule to address the demand. Initially, a comprehensive multi-criteria analysis of different machine learning approaches used in energy consumption predictions was carried out. Later, a predictive micro-grid model was formulated to synthetically generate the stochastic load profiles considering occupancy rate as the critical input. Finally, the synthetically generated data were used to train the proposed eight-layer deep neural network-based model and evaluated using root mean square error and coefficient of determination as metrics. Observations from the results indicated that the proposed energy prediction algorithm yielded a coefficient of determination of 97.5% and a significantly low root mean square error of 111 Watts, thereby outperforming the other baseline approaches, such as extreme gradient boost, multiple linear regression, and simple/shallow artificial neural network.

ACS Style

Le Truong; Ka Chow; Rungsimun Luevisadpaibul; Gokul Thirunavukkarasu; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches. Applied Sciences 2021, 11, 2229 .

AMA Style

Le Truong, Ka Chow, Rungsimun Luevisadpaibul, Gokul Thirunavukkarasu, Mehdi Seyedmahmoudian, Ben Horan, Saad Mekhilef, Alex Stojcevski. Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches. Applied Sciences. 2021; 11 (5):2229.

Chicago/Turabian Style

Le Truong; Ka Chow; Rungsimun Luevisadpaibul; Gokul Thirunavukkarasu; Mehdi Seyedmahmoudian; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2021. "Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches." Applied Sciences 11, no. 5: 2229.

Journal article
Published: 26 February 2021 in IEEE Sensors Journal
Reads 0
Downloads 0

Health care is becoming a public concern and has given intensifying attention in recent years considering the aspects such as an increase in population, urbanization and globalization. (a). Good quality and effective health care system is although low in cost but its ability to detect abnormalities and anomalies is not compromised. The objective of this research work is to introduce a novel cost-effective technique that allows the measured ECG waveform to get classified with the help of the LabVIEW. Using the combination of the sensor system, first, the input ECG sensor signal is collected and then processed in LabVIEW to get classified. (b). A LabVIEW based simulation is presented in this article which classifies the heart ECG signal to be as healthy, non-healthy and not defined. Moreover, the relevant hardware details are also discussed. The classification system is trained using the machine learning (ML) technique (K-mean clustering). (c). The findings from the work include classification of heart health status, timely detection of anomalies and (various) arrhythmia conditions at their preliminary stages. Further discoveries contain performance evaluation resulting in response time lesser than half a minute and accuracy estimation from the experiment on three patients. (d). The system can be useful for detecting the COVID-19 breathing issues at their early stage and an automatic appointment can be set with the available scheduled heart professional based on the severity of the detected arrhythmia condition. The system allows early access to the hospital support system and can help to reduce the crowds in the medical centers.

ACS Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Alex Stojcevski. A Wearable Wireless Sensor System Using Machine Learning Classification to Detect Arrhythmia. IEEE Sensors Journal 2021, 21, 11109 -11116.

AMA Style

Aqeel Farooq, Mehdi Seyedmahmoudian, Alex Stojcevski. A Wearable Wireless Sensor System Using Machine Learning Classification to Detect Arrhythmia. IEEE Sensors Journal. 2021; 21 (9):11109-11116.

Chicago/Turabian Style

Aqeel Farooq; Mehdi Seyedmahmoudian; Alex Stojcevski. 2021. "A Wearable Wireless Sensor System Using Machine Learning Classification to Detect Arrhythmia." IEEE Sensors Journal 21, no. 9: 11109-11116.

Journal article
Published: 01 February 2021 in Applied Sciences
Reads 0
Downloads 0

Modal analysis provides the dynamic behavior of an object or structure, and is often undertaken using the Finite Element Method (FEM) due to its ability to deal with arbitrary geometries. This article investigates the use of Augmented Reality (AR) to provide the in situ visualization of a modal analysis for an aluminum impeller. Finite Element Analysis (FEA) software packages regularly use heat maps and shape deformation to visualize the outcomes of a given simulation. AR allows the superimposition of digital information on a view of the real-world environment, and provides the opportunity to overlay such simulation results onto real-world objects and environments. The presented modal analysis undertaken herein provides natural frequencies and the corresponding deformation of an aluminum impeller. The results indicate the ability for the design part and finite element analysis results to be viewed on the physical part. A mobile AR-FEA-based system was developed for Modal Analysis result visualization. This study offers designers and engineers a new way to visualize such simulation results.

ACS Style

Merve Yavuz Erkek; Selim Erkek; Elmira Jamei; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. Augmented Reality Visualization of Modal Analysis Using the Finite Element Method. Applied Sciences 2021, 11, 1310 .

AMA Style

Merve Yavuz Erkek, Selim Erkek, Elmira Jamei, Mehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan. Augmented Reality Visualization of Modal Analysis Using the Finite Element Method. Applied Sciences. 2021; 11 (3):1310.

Chicago/Turabian Style

Merve Yavuz Erkek; Selim Erkek; Elmira Jamei; Mehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. 2021. "Augmented Reality Visualization of Modal Analysis Using the Finite Element Method." Applied Sciences 11, no. 3: 1310.

Journal article
Published: 26 January 2021 in Sustainability
Reads 0
Downloads 0

Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider the effects of valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, a novel optimization technique, namely, a multi-gradient particle swarm optimization (MG-PSO) algorithm with two stages for exploring and exploiting the search space area, is employed as an optimization tool. The M particles (explorers) in the first stage are used to explore new neighborhoods, whereas the M particles (exploiters) in the second stage are used to exploit the best neighborhood. The M particles’ negative gradient variation in both stages causes the equilibrium between the global and local search space capabilities. This algorithm’s authentication is demonstrated on five medium-scale to very large-scale power systems. The MG-PSO algorithm effectively reduces the difficulty of handling the large-scale DED problem, and simulation results confirm this algorithm’s suitability for such a complicated multi-objective problem at varying fitness performance measures and consistency. This algorithm is also applied to estimate the required generation in 24 h to meet load demand changes. This investigation provides useful technical references for economic dispatch operators to update their power system programs in order to achieve economic benefits.

ACS Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations. Sustainability 2021, 13, 1274 .

AMA Style

Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations. Sustainability. 2021; 13 (3):1274.

Chicago/Turabian Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations." Sustainability 13, no. 3: 1274.

Journal article
Published: 19 January 2021 in IEEE Access
Reads 0
Downloads 0

In Baghdad City’s distribution power grid, a massive number of 630 kV distribution transformers (DTs) are used in residential neighborhoods. Each DT is joined to nine low-voltage 0.415 kV distribution feeders. Each feeder has a designated size of $1\times240$ mm 2 and is joined to a specified number of residential dwellings $(N=30)$ fixed in the initial design stage. The size and number of low-voltage 0.415 kV distribution feeders are set with no change. In this investigation, we use a new approach for modeling electricity demand in residential neighborhoods in Baghdad City and overcome this constraint by finding the optimum number of residential dwellings joined to the same low-voltage 0.415 kV distribution feeder. Two sets of the experimental equations are created to compute the number of residential dwellings that are required to be joined to the low-voltage 0.415 kV distribution feeder. The multi-gradient particle swarm optimization algorithm is used as an optimization tool to handle these experimental equations. Results show that each low-voltage 0.415 kV distribution feeder can be loaded with 50 dwellings instead of 30 due to the diversity among residential dwellings. Several facts about the load profile characteristics of residential dwellings in Iraq are established. This study’s outcomes provide useful technical references for Iraq electrical design engineers to update the connection grids of low-voltage 0.415 kV distribution feeders in Baghdad City to achieve economic benefits.

ACS Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids. IEEE Access 2021, 9, 16508 -16521.

AMA Style

Loau Al-Bahrani, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids. IEEE Access. 2021; 9 ():16508-16521.

Chicago/Turabian Style

Loau Al-Bahrani; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2021. "A Novel Approach for Residential Neighborhoods’ Electricity Demand in Iraq Distribution Power Grids." IEEE Access 9, no. : 16508-16521.

Review
Published: 15 December 2020 in IEEE Access
Reads 0
Downloads 0

Medium-voltage (MV) multilevel converters are considered a promising solution for large scale photovoltaic (PV) systems to meet the rapid energy demand. This paper focuses on reviewing the different structures and the technical challenges of modular multilevel topologies and their submodule circuit design for PV applications. The unique structure of the converter’s submodule provides modularity, independent control of maximum power point tracking (MPPT), galvanic isolation, etc. Different submodule circuits and MPPT methods to efficiently extract the PV power are reviewed. The integration of the multilevel converters to PV systems suffers unbalanced power generation during partial PV shading conditions. Several balancing strategies to solve this problem are presented and compared to give a better understanding of the balancing ranges and capabilities of each strategy. In addition, the paper discusses recent research advancements, and possible future directions of MV converters-based large-scale PV systems for grid integration.

ACS Style

Ahmed Ibrahim Elsanabary; Georgios Konstantinou; Saad Mekhilef; Christopher David Townsend; Mehdi Seyedmahmoudian; Alex Stojcevski. Medium Voltage Large-Scale Grid-Connected Photovoltaic Systems Using Cascaded H-Bridge and Modular Multilevel Converters: A Review. IEEE Access 2020, 8, 223686 -223699.

AMA Style

Ahmed Ibrahim Elsanabary, Georgios Konstantinou, Saad Mekhilef, Christopher David Townsend, Mehdi Seyedmahmoudian, Alex Stojcevski. Medium Voltage Large-Scale Grid-Connected Photovoltaic Systems Using Cascaded H-Bridge and Modular Multilevel Converters: A Review. IEEE Access. 2020; 8 (99):223686-223699.

Chicago/Turabian Style

Ahmed Ibrahim Elsanabary; Georgios Konstantinou; Saad Mekhilef; Christopher David Townsend; Mehdi Seyedmahmoudian; Alex Stojcevski. 2020. "Medium Voltage Large-Scale Grid-Connected Photovoltaic Systems Using Cascaded H-Bridge and Modular Multilevel Converters: A Review." IEEE Access 8, no. 99: 223686-223699.

Journal article
Published: 27 November 2020 in Sensors
Reads 0
Downloads 0

Software services communicate with different requisite services over the computer network to accomplish their tasks. The requisite services may not be readily available to test a specific service. Thus, service virtualisation has been proposed as an industry solution to ensure availability of the interactive behaviour of the requisite services. However, the existing techniques of virtualisation cannot satisfy the required accuracy or time constraints to keep up with the competitive business world. These constraints sacrifices quality and testing coverage, thereby delaying the delivery of software. We proposed a novel technique to improve the accuracy of the existing service virtualisation solutions without sacrificing time. This method generates the service response and predicts categorical fields in virtualised responses, extending existing research with lower complexity and higher accuracy. The proposed service virtualisation approach uses conditional entropy to identify the fields that can be used to drive the value of each categorical field based on the historical messages. Then, it uses joint probability distribution to find the best values for the categorical fields. The experimental evaluation illustrates that the proposed approach can generate responses with the required fields and accurate values for categorical fields over four data sets with stateful nature.

ACS Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors 2020, 20, 6776 .

AMA Style

Zeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors. 2020; 20 (23):6776.

Chicago/Turabian Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski. 2020. "New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response." Sensors 20, no. 23: 6776.

Journal article
Published: 03 October 2020 in Sensors
Reads 0
Downloads 0

Continuous delivery has gained increased popularity in industry as a development approach to develop, test, and deploy enhancements to software components in short development cycles. In order for continuous delivery to be effectively adopted, the services that a component depends upon must be readily available to software engineers in order to systematically apply quality assurance techniques. However, this may not always be possible as (i) these requisite services may have limited access and (ii) defects that are introduced in a component under development may cause ripple effects in real deployment environments. Service virtualisation (SV) has been introduced as an approach to address these challenges, but existing approaches to SV still fall short of delivering the required accuracy and/or ease-of-use to virtualise services for adoption in continuous delivery. In this work, we propose a novel machine learning based approach to predict numeric fields in virtualised responses, extending existing research that has provided a way to produce values for categorical fields. The SV approach introduced here uses machine learning techniques to derive values of numeric fields that are based on a variable number of pertinent historic messages. Our empirical evaluation demonstrates that the Cognitive SV approach can produce responses with the appropriate fields and accurately predict values of numeric fields across three data sets, some of them based on stateful protocols.

ACS Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski; Irene Moser; Jean-Guy Schneider. Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors 2020, 20, 5664 .

AMA Style

Zeinab Farahmandpour, Mehdi Seyedmahmoudian, Alex Stojcevski, Irene Moser, Jean-Guy Schneider. Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values. Sensors. 2020; 20 (19):5664.

Chicago/Turabian Style

Zeinab Farahmandpour; Mehdi Seyedmahmoudian; Alex Stojcevski; Irene Moser; Jean-Guy Schneider. 2020. "Cognitive Service Virtualisation: A New Machine Learning-Based Virtualisation to Generate Numeric Values." Sensors 20, no. 19: 5664.

Journal article
Published: 18 August 2020 in Sustainability
Reads 0
Downloads 0

The solar photo-voltaic systems control architecture has a substantial influence over the cost, efficiency, and accuracy of maximum power point tracking under partial shading conditions. In this paper, a novel distributed architecture of a building integrated photo-voltaic system equipped with a single maximum power point tracking controller is presented in order to address the drawbacks associated with respect to cost, complexity and efficiency of the existing photo-voltaic system architectures. In addition, a radial movement optimization based maximum power point tracking control algorithm is designed, developed, and validated using the proposed system architecture under five different partial shading conditions. The inferences obtained from the validation results of the proposed distributed system architecture indicated that cost was reduced by 75% when compared to the commonly used decentralised systems. The proposed distributed building integrated photo-voltaic system architecture is also more efficient, robust, reliable, and accurate.

ACS Style

Mehdi Seyedmahmoudian; Gokul Thirunavukkarasu; Elmira Jamei; Tey Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller. Sustainability 2020, 12, 6687 .

AMA Style

Mehdi Seyedmahmoudian, Gokul Thirunavukkarasu, Elmira Jamei, Tey Soon, Ben Horan, Saad Mekhilef, Alex Stojcevski. A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller. Sustainability. 2020; 12 (16):6687.

Chicago/Turabian Style

Mehdi Seyedmahmoudian; Gokul Thirunavukkarasu; Elmira Jamei; Tey Soon; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2020. "A Sustainable Distributed Building Integrated Photo-Voltaic System Architecture with a Single Radial Movement Optimization Based MPPT Controller." Sustainability 12, no. 16: 6687.

Review
Published: 20 July 2020 in Annals of Biomedical Engineering
Reads 0
Downloads 0

Mandibular and craniofacial bone defects can be caused by trauma, inflammatory disease, and benign or malignant tumors. Patients with bone defects suffer from problems with aesthetics, speech, and mastication, resulting in the need for implants. Conventional methods do not always provide satisfactory results. Most of the techniques proposed by researchers in the field of biomedical engineering use reverse engineering, computer-aided design (CAD), and additive manufacturing (AM), whose implementation can improve the outcomes of reconstructive surgeries. Several literature reviews on this particular topic have been conducted. However, they provide mostly overviews of AM technologies for general biomedical devices. This paper summarizes the use of existing medical AM techniques for the design and fabrication of mandibular and craniofacial implants, and then discusses their advantages and disadvantages in terms of accuracy, costs, energy consumption, and production rate. The aim of this study is to present a comparative review of the most commonly used AM technologies to aid researchers in selecting the best possible AM technologies for medical use. Studies included in this review contain CAD designs of mandibular or cranial implants, as well as their fabrication using AM technologies. Special attention is paid to PolyJet technology, because of its high accuracy, and economical efficiency.

ACS Style

Dajana Miljanovic; Mohammadmehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. Design and Fabrication of Implants for Mandibular and Craniofacial Defects Using Different Medical-Additive Manufacturing Technologies: A Review. Annals of Biomedical Engineering 2020, 48, 2285 -2300.

AMA Style

Dajana Miljanovic, Mohammadmehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan. Design and Fabrication of Implants for Mandibular and Craniofacial Defects Using Different Medical-Additive Manufacturing Technologies: A Review. Annals of Biomedical Engineering. 2020; 48 (9):2285-2300.

Chicago/Turabian Style

Dajana Miljanovic; Mohammadmehdi Seyedmahmoudian; Alex Stojcevski; Ben Horan. 2020. "Design and Fabrication of Implants for Mandibular and Craniofacial Defects Using Different Medical-Additive Manufacturing Technologies: A Review." Annals of Biomedical Engineering 48, no. 9: 2285-2300.

Special issue review paper
Published: 26 June 2020 in International Journal of Energy Research
Reads 0
Downloads 0

The integration of demand side management (DSM) with smart grid (SG) can facilitate residents' transfer into smart homes and sustainable cities by reducing the carbon emission. This manuscript reviews the recent works related to the application of DSM in SG through discussing the techniques and algorithms and their associated challenges for effective implementation. This paper also critically discusses the operation mode of DSM, the profile of energy production, storage and consumption, and finally the benefit obtained by the DSM implementation. Previous literature suggested that DSM practice reduced peak‐to‐average ratio, energy cost and carbon emission by approximately 10% to 65%, 5% to 50%, and 14%, respectively. The implementation of DSM in SG deals with a number of challenges such as security and privacy, tariff regulation, energy transmission, distribution, and effective utilization of energy resources. A number of international organizations have taken various measures and solutions to guarantee the security and privacy of the DSM in SG discussed. So far, a number of algorithms have been used as optimization approach to solve the DSM optimization problems; however hybrid algorithms have showed better performance than single algorithms due to their faster convergence speed. At the end, the paper presents the research gaps and future research directions.

ACS Style

Eity Sarker; Pobitra Halder; Mohammadmehdi Seyedmahmoudian; Elmira Jamei; Ben Horan; Saad Mekhilef; Alex Stojcevski. Progress on the demand side management in smart grid and optimization approaches. International Journal of Energy Research 2020, 45, 36 -64.

AMA Style

Eity Sarker, Pobitra Halder, Mohammadmehdi Seyedmahmoudian, Elmira Jamei, Ben Horan, Saad Mekhilef, Alex Stojcevski. Progress on the demand side management in smart grid and optimization approaches. International Journal of Energy Research. 2020; 45 (1):36-64.

Chicago/Turabian Style

Eity Sarker; Pobitra Halder; Mohammadmehdi Seyedmahmoudian; Elmira Jamei; Ben Horan; Saad Mekhilef; Alex Stojcevski. 2020. "Progress on the demand side management in smart grid and optimization approaches." International Journal of Energy Research 45, no. 1: 36-64.

Journal article
Published: 05 March 2020 in Journal of Cleaner Production
Reads 0
Downloads 0

The unfettered rise in electricity demand due to overpopulation, industrialization, and lack of adequate generation augment stress on utilities’ ability to serve their customers. The situation usually worsens when the demand exceeds production. The peak demands are catered by operating expensive spinning reserves or resort to blanket load shedding by utilities during the peak hours. The first option increases the cost of electricity which is undesirable whereas indiscriminate load shedding is also unacceptable. Utility companies practice direct control methods such as utility integrated control over consumer loads during peak hours to minimize the gap between supply and demand. We present a frequency and voltage relaying based demand side management (DSM) scheme to reduce the load on 11 kV distribution feeders during peak hours without resorting to blanket load shedding. In this scheme, an energy management system (EMS) employing Underfrequency and Undervoltage (UFUV) relays is implemented at consumers’ premises instead of 220 kV distribution substations stations. This system monitors the power system’s vital signals, voltage and frequency, to manage load. The EMS controller automatically detects the frequency and voltage changes in the system and responds to respective loading patterns. The dynamic voltage (v), current (i) and frequency (f) signals are acquired from zero crossing detectors and power sources are analyzed and stored. The transducer with output voltage range in millivolt (mv), signal conditioning techniques are applied to match data acquisition range (0–10V). The predefined range are computed with dynamic values to send tripping signal to control device. In order to counter sag, swell or minor deviation a 2–3 cycles time delay is added in calculations. The integration of the proposed DSM system has shown up to 97% power supply reliability. Efficient energy management reduces Green House Gas (GHG) emissions, which is a significant step towards cleaner production.

ACS Style

Ali Raza Kalair; Naeem Abas; Qadeer Ul Hasan; Mohammadmehdi Seyedmahmoudian; Nasrullah Khan. Demand side management in hybrid rooftop photovoltaic integrated smart nano grid. Journal of Cleaner Production 2020, 258, 120747 .

AMA Style

Ali Raza Kalair, Naeem Abas, Qadeer Ul Hasan, Mohammadmehdi Seyedmahmoudian, Nasrullah Khan. Demand side management in hybrid rooftop photovoltaic integrated smart nano grid. Journal of Cleaner Production. 2020; 258 ():120747.

Chicago/Turabian Style

Ali Raza Kalair; Naeem Abas; Qadeer Ul Hasan; Mohammadmehdi Seyedmahmoudian; Nasrullah Khan. 2020. "Demand side management in hybrid rooftop photovoltaic integrated smart nano grid." Journal of Cleaner Production 258, no. : 120747.

Journal article
Published: 31 January 2020 in IEEE Access
Reads 0
Downloads 0

Modular multilevel converters (MMCs) are considered very promising converters due to their modularity structure and high reliability from fault-tolerant. A fault within a submodule (SM) is one of the main issues in half-bridge MMCs with substantial switching devices. In this paper, an adaptive carrier based phase disposition pulse width modulation (PDPWM) technique for MMCs, which uses only one carrier having flexibility with fault-tolerant capability, is presented. The energy-based control is also used in this study to regulate the balancing of SMs during and after a fault. In order to investigate the performance of the proposed method, a laboratory single-phase MMC prototype has been built by using four SMs to generate nine-level. The single-phase MMC prototype is tested by assuming one of the SMs in the failure condition. The result revealed that the proposed method had been successfully applied to the MMC prototype to control the upper and lower arm during the failure. In addition, the reference command will correct the fault according to the adaptive carrier and the computational burden is lesser since it only uses one single carrier.

ACS Style

Tuanku Badzlin Hashfi; Saad Mekhilef; Marizan Mubin; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability. IEEE Access 2020, 8, 26739 -26748.

AMA Style

Tuanku Badzlin Hashfi, Saad Mekhilef, Marizan Mubin, Mehdi Seyedmahmoudian, Ben Horan, Alex Stojcevski. Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability. IEEE Access. 2020; 8 (99):26739-26748.

Chicago/Turabian Style

Tuanku Badzlin Hashfi; Saad Mekhilef; Marizan Mubin; Mehdi Seyedmahmoudian; Ben Horan; Alex Stojcevski. 2020. "Adaptive Carrier-Based PDPWM Control for Modular Multilevel Converter With Fault-Tolerant Capability." IEEE Access 8, no. 99: 26739-26748.