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

Prof. Basil H. Jasim
University of basrah

Basic Info


Research Keywords & Expertise

0 Control Theory
0 Smart Grid
0 Process control and instrumentation
0 Automation & Control
0 chaotic system

Fingerprints

Control Theory
Smart Grid
chaotic system

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 11 August 2021 in Sustainable Cities and Society
Reads 0
Downloads 0

Power mismatching between the generated and consumed power is caused by the stochastic and unpredictable demand energy, resulting in increasing the electricity bill and the load energy waste. A consensus algorithm-based coalition game theory for optimal demand management scheme is proposed for multi-agent smart microgrids (SMGs). The consensus algorithm depends on the information and data transfer among the neighbors in the multi-agents SMGs. The consensus algorithm for the demand management system has been proposed to improve the coalition game theory. The allocation of the surplus energy on the deficient customers is based on Shapley value, which enables the unequal distribution of power according to the demand. The computational and storage units are shifted to the Fog layer to deal with the multi-agents SMGs' extensive data and information. The proposed method's main objectives are minimizing the energy cost, energy waste in the presence of packet losses, and power mismatching. A hypothetical SMG system has been simulated and modeled using the MATLAB environment program to prove the proposed method's effectiveness. Three scenarios are performed, including without a demand management system, coalition game theory only, and consensus algorithm-based coalition game theory. A comparison between the obtained results has been performed. Sensitivity analysis based on the increasing of iterations and the number of homes is performed to prove the effectiveness of the proposed method. Also, a comparison between the optimization outcomes obtained results is implemented using genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and artificial bee colony (ABC) optimization techniques. The results prove the applicability and feasibility of the proposed method for the demand management system in SMG. The proposed method achieves an improvement of 8.056%, 6.629%, and 98.888% for the incremental cost, the total electricity bill, and load energy waste concerning their values without applying the energy management system, respectively.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim; Bishoy E. Sedhom; Josep M. Guerrero. Consensus Algorithm-based Coalition Game Theory for Demand Management Scheme in Smart Microgrid. Sustainable Cities and Society 2021, 74, 103248 .

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim, Bishoy E. Sedhom, Josep M. Guerrero. Consensus Algorithm-based Coalition Game Theory for Demand Management Scheme in Smart Microgrid. Sustainable Cities and Society. 2021; 74 ():103248.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim; Bishoy E. Sedhom; Josep M. Guerrero. 2021. "Consensus Algorithm-based Coalition Game Theory for Demand Management Scheme in Smart Microgrid." Sustainable Cities and Society 74, no. : 103248.

Journal article
Published: 01 August 2021 in International Journal of Electrical and Computer Engineering (IJECE)
Reads 0
Downloads 0

This paper presents a new hyperchaotic system which shows some interesting features, the system is 4-dimensional with 4 nonlinearities. An extensive numerical analysis has showed that the system has some interesting features and strange behaviors. The numerical analysis includes studying the effect of system parameters and initial conditions. Some of the important properties of the system with parameter set, in which the system is hyperchaotic, such as Lyapunov exponents and Lyapunov dimension, dissipation and symmetry are found and discussed. In the next part of our work, a tracking controller for the proposed system is designed and then a synchronization control system for two identical systems is designed. The design procedure uses combination of a simple synergetic control with adaptive updating laws to identify the unknown parameters derived basing on Lyapunov theorem. Hardware implementation based on microcontroller unit (MCU) board is proposed and tested and used to experimentally validate the designed control and synchronization systems. As an application, the designed synchronization system is used as a secure analogue communication system. Using MATLAB, Simulation study for the control and synchronization systems is presented. The simulation and experimental study have been showed excellent results.

ACS Style

Basil H. Jasim; Anwer Hammadi Mjily; Anwer Mossa Jassim Al-Aaragee. A novel 4 dimensional hyperchaotic system with its control, Synchronization and Implementation. International Journal of Electrical and Computer Engineering (IJECE) 2021, 11, 2974 -2985.

AMA Style

Basil H. Jasim, Anwer Hammadi Mjily, Anwer Mossa Jassim Al-Aaragee. A novel 4 dimensional hyperchaotic system with its control, Synchronization and Implementation. International Journal of Electrical and Computer Engineering (IJECE). 2021; 11 (4):2974-2985.

Chicago/Turabian Style

Basil H. Jasim; Anwer Hammadi Mjily; Anwer Mossa Jassim Al-Aaragee. 2021. "A novel 4 dimensional hyperchaotic system with its control, Synchronization and Implementation." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4: 2974-2985.

Journal article
Published: 31 July 2021 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operated in the agent of each RER. For primary control, a droop control is adopted by each RER-agent for localized power sharing. For secondary control, a distributed diffusion algorithm is proposed for arbitrary power sharing among RERs. The proposed levels communication system is implemented to explain the data exchange between the distribution network system and the cloud server. The local communication level utilizes the Internet Protocol (IP)/Transmission Control Protocol (TCP), and Message Queuing Telemetry Transport (MQTT) is used as the protocol for the global communication level. The effectiveness of the proposed system is validated by numerical simulation with the modified IEEE 9 node test feeder. The controller proposed in this paper achieved savings of 20.65% for the system, 25.99% for photovoltaic, 35.52 for diesel generator, 24.59 for batteries, and 52.34% for power loss.

ACS Style

Bilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Josep Guerrero; M. Esteban. A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources. International Journal of Environmental Research and Public Health 2021, 18, 8146 .

AMA Style

Bilal Alhasnawi, Basil Jasim, Zain-Aldeen Rahman, Josep Guerrero, M. Esteban. A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources. International Journal of Environmental Research and Public Health. 2021; 18 (15):8146.

Chicago/Turabian Style

Bilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Josep Guerrero; M. Esteban. 2021. "A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources." International Journal of Environmental Research and Public Health 18, no. 15: 8146.

Journal article
Published: 12 July 2021 in Sensors
Reads 0
Downloads 0

In residential energy management (REM), Time of Use (ToU) of devices scheduling based on user-defined preferences is an essential task performed by the home energy management controller. This paper devised a robust REM technique capable of monitoring and controlling residential loads within a smart home. In this paper, a new distributed multi-agent framework based on the cloud layer computing architecture is developed for real-time microgrid economic dispatch and monitoring. In this paper the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm-based Time of Use (ToU) pricing model is proposed to define the rates for shoulder-peak and on-peak hours. The results illustrate the effectiveness of the proposed the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm based ToU pricing scheme. A Raspberry Pi3 based model of a well-known test grid topology is modified to support real-time communication with open-source IoE platform Node-Red used for cloud computing. Two levels communication system connects microgrid system, implemented in Raspberry Pi3, to cloud server. The local communication level utilizes IP/TCP and MQTT is used as a protocol for global communication level. The results demonstrate and validate the effectiveness of the proposed technique, as well as the capability to track the changes of load with the interactions in real-time and the fast convergence rate.

ACS Style

Bilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Pierluigi Siano. A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy. Sensors 2021, 21, 4756 .

AMA Style

Bilal Alhasnawi, Basil Jasim, Zain-Aldeen Rahman, Pierluigi Siano. A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy. Sensors. 2021; 21 (14):4756.

Chicago/Turabian Style

Bilal Alhasnawi; Basil Jasim; Zain-Aldeen Rahman; Pierluigi Siano. 2021. "A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy." Sensors 21, no. 14: 4756.

Journal article
Published: 06 July 2021 in Inventions
Reads 0
Downloads 0

In this paper, a new fractional order chaotic system without equilibrium is proposed, analytically and numerically investigated, and numerically and experimentally tested. The analytical and numerical investigations were used to describe the system’s dynamical behaviors including the system equilibria, the chaotic attractors, the bifurcation diagrams, and the Lyapunov exponents. Based on the obtained dynamical behaviors, the system can excite hidden chaotic attractors since it has no equilibrium. Then, a synchronization mechanism based on the adaptive control theory was developed between two identical new systems (master and slave). The adaptive control laws are derived based on synchronization error dynamics of the state variables for the master and slave. Consequently, the update laws of the slave parameters are obtained, where the slave parameters are assumed to be uncertain and are estimated corresponding to the master parameters by the synchronization process. Furthermore, Arduino Due boards were used to implement the proposed system in order to demonstrate its practicality in real-world applications. The simulation experimental results were obtained by MATLAB and the Arduino Due boards, respectively, with a good consistency between the simulation results and the experimental results, indicating that the new fractional order chaotic system is capable of being employed in real-world applications.

ACS Style

Zain-Aldeen Rahman; Basil Jasim; Yasir Al-Yasir; Raed Abd-Alhameed; Bilal Alhasnawi. A New No Equilibrium Fractional Order Chaotic System, Dynamical Investigation, Synchronization, and Its Digital Implementation. Inventions 2021, 6, 49 .

AMA Style

Zain-Aldeen Rahman, Basil Jasim, Yasir Al-Yasir, Raed Abd-Alhameed, Bilal Alhasnawi. A New No Equilibrium Fractional Order Chaotic System, Dynamical Investigation, Synchronization, and Its Digital Implementation. Inventions. 2021; 6 (3):49.

Chicago/Turabian Style

Zain-Aldeen Rahman; Basil Jasim; Yasir Al-Yasir; Raed Abd-Alhameed; Bilal Alhasnawi. 2021. "A New No Equilibrium Fractional Order Chaotic System, Dynamical Investigation, Synchronization, and Its Digital Implementation." Inventions 6, no. 3: 49.

Journal article
Published: 04 June 2021 in International Journal of Electrical Power & Energy Systems
Reads 0
Downloads 0

This paper proposes a distributed secondary consensus fault-tolerant control (FTC) method for the multi-agent microgrid (MG). The proposed controller is applied to compensate for the errors in the system frequency and voltage profiles in the presence of MG faults. The proposed controller also enables the system to ensure an accurate sharing of the active and reactive power among the connected distributed generations (DGs) in MG. The consensus-based controller depends on the information transferring between MG neighbor agents through a graph communication network. The proposed secondary controller improves the primary controllers' performance, including droop control and inner voltage and current controllers. The proposed controller has been verified using a hypothetical multi-agent MG system in MATLAB/Simulink environment. A comparative analysis between the results obtained from applying the proposed controller and the primary droop control method (DCM). The proposed controller's performance is evaluated using the controller response time, the maximum frequency deviation, and the steady-state restoration time. The results show the proposed secondary FTC method's effectiveness in mitigating the faults' effect in multi-agent MG.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim; Bishoy E. Sedhom. Distributed secondary consensus fault tolerant control method for voltage and frequency restoration and power sharing control in multi-agent microgrid. International Journal of Electrical Power & Energy Systems 2021, 133, 107251 .

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim, Bishoy E. Sedhom. Distributed secondary consensus fault tolerant control method for voltage and frequency restoration and power sharing control in multi-agent microgrid. International Journal of Electrical Power & Energy Systems. 2021; 133 ():107251.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim; Bishoy E. Sedhom. 2021. "Distributed secondary consensus fault tolerant control method for voltage and frequency restoration and power sharing control in multi-agent microgrid." International Journal of Electrical Power & Energy Systems 133, no. : 107251.

Journal article
Published: 01 June 2021 in International Journal of Electrical and Computer Engineering (IJECE)
Reads 0
Downloads 0

In this paper, a simple 4-dimensional hyperchaotic system is introduced. The proposed system has no equilibria points, so it admits hidden attractor which is an interesting feature of chaotic systems. Another interesting feature of the proposed system is the coexisting of attractors where it shows periodic and chaotic coexisting attractors. After introducing the system, the system is analyzed dynamically using numerical and theoretical techniques. In this analysis, Lyapunov exponents and bifurcation diagrams have been used to investigate chaotic and hyperchaotic nature, the ranges of system parameters for different behaviors and the route for chaos and coexisting attractors regions. In the next part of our work, a synchronization control system for two identical systems is designed. The design procedure uses a combination of simple synergetic control with adaptive updating laws to identify the unknown parameters derived basing on Lyapunov theorem. Microcontroller (MCU) based hardware implementation system is proposed and tested by using MATLAB as a display side. As an application, the designed synchronization system is used as a secure analog communication system. The designed MCU system with MATLAB Simulation is used to validate the designed synchronization and secure communication systems and excellent results have been obtained.

ACS Style

Basil H. Jasim; Kadhim H. Hassan; Khulood Moosa Omran. A new 4-D hyperchaotic hidden attractor system: Its dynamics, coexisting attractors, synchronization and microcontroller implementation. International Journal of Electrical and Computer Engineering (IJECE) 2021, 11, 2068 -2078.

AMA Style

Basil H. Jasim, Kadhim H. Hassan, Khulood Moosa Omran. A new 4-D hyperchaotic hidden attractor system: Its dynamics, coexisting attractors, synchronization and microcontroller implementation. International Journal of Electrical and Computer Engineering (IJECE). 2021; 11 (3):2068-2078.

Chicago/Turabian Style

Basil H. Jasim; Kadhim H. Hassan; Khulood Moosa Omran. 2021. "A new 4-D hyperchaotic hidden attractor system: Its dynamics, coexisting attractors, synchronization and microcontroller implementation." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3: 2068-2078.

Journal article
Published: 29 May 2021 in Energies
Reads 0
Downloads 0

This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The scheme is a multi-agent method that considers two chief purposes including user satisfaction and energy consumption cost. The scheme is designed under environment of microgrid. The user impact in terms of energy cost savings is generally significant in terms of system efficiency. That is why domestic users are involved in the management of domestic appliances. The optimization algorithms are based on an improved version of the rainfall algorithm and the salp swarm algorithm. In this paper, the Time of Use (ToU) model is proposed to define the rates for shoulder-peak and on-peak hours. A two-level communication system connects the microgrid system, implemented in MATLAB, to the cloud server. The local communication level utilizes IP/TCP and MQTT and is used as a protocol for the global communication level. The scheduling controller proposed in this study succeeded the energy saving of 25.3% by using the salp swarm algorithm and saving of 31.335% by using the rainfall algorithm.

ACS Style

Bilal Alhasnawi; Basil Jasim; Pierluigi Siano; Josep Guerrero. A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy. Energies 2021, 14, 3191 .

AMA Style

Bilal Alhasnawi, Basil Jasim, Pierluigi Siano, Josep Guerrero. A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy. Energies. 2021; 14 (11):3191.

Chicago/Turabian Style

Bilal Alhasnawi; Basil Jasim; Pierluigi Siano; Josep Guerrero. 2021. "A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy." Energies 14, no. 11: 3191.

Journal article
Published: 06 May 2021 in Sustainable Energy Technologies and Assessments
Reads 0
Downloads 0

Renewable energy resources (RESs) have come under significant focus to cover the massive demand for electricity. Microgrids are coupled with Demand Side Management (DSM) for saving energy and amplifying energy efficacy. CO2 discharges, frequency and voltage protocols, RES stochastic nature, Peak to Average Ratio (PAR), and load dynamics are still termed as the most significant challenges for smart microgrids. Novel regulation and management methodologies are required for overpowering them. Internet of Things (IoT) is able to offer adaptive supervision of energy intake and warrant a cost-effective and safe functioning of the smart microgrids. In this study, a new DSM system called Real-Time Electricity Scheduling (RTES) for domestic home energy management is introduced for running the microgrids. The proposed management system seeks to curtail cost payments by optimally programming smart devices and enhancing the consumption of energy. The system comprises two portions: software and hardware. The hardware comprises a Base Station Unit (BSU) and many Terminal Unit (TU). The software comprises the Wi-Fi network programming along with the system protocol. In this paper, Message Queue Telemetry Transportation (MQTT) broker was constructed on TU board and BSU. The proposed technique raises effectual use of energy, thus raising the viability of IoT empowered households in smart cities. The approach impulsively reacts to protective home equipment, power factor correction, and price-centred demand response programmes to contest the key concern of the demand response programs, i.e., constraints in terms of customer’s knowledge to react upon obtaining demand response signals. Lastly, a smart microgrids model is experimentally employed to accomplish and corroborate the proposed DSM and control approach. The outcomes of the experiment have substantiated the efficacy and viability of the presented approach and the competence of proposed technique for energy management functioning in various modes. The outcomes endorse the proposed method’s ability to obtain an optimum DSM scheme by decreasing the smart microgrids’ emission cost, energy cost, and PAR, along with power factor correction.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim. A new internet of things enabled trust distributed demand side management system. Sustainable Energy Technologies and Assessments 2021, 46, 101272 .

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim. A new internet of things enabled trust distributed demand side management system. Sustainable Energy Technologies and Assessments. 2021; 46 ():101272.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim. 2021. "A new internet of things enabled trust distributed demand side management system." Sustainable Energy Technologies and Assessments 46, no. : 101272.

Journal article
Published: 14 April 2021 in Energies
Reads 0
Downloads 0

The Energy Internet paradigm is the evolution of the Internet of Things concept in the power system. Microgrids (MGs), as the essential element in an Energy Internet, are expected to be controlled in a corporative and flexible manner. This paper proposes a novel decentralized robust control strategy for multi-agent systems (MASs) governed MGs in future Energy Internet. The proposed controller is based on a consensus algorithm applied with the connected distributed generators (DGs) in the MGs in the energy internet paradigm. The proposed controller’s objectives are the frequency/voltage regulation and proportional reactive/active power-sharing for the hybrid DGs connected MGs. A proposed two-level communication system is implemented to explain the data exchange between the MG system and the cloud server. The local communication level utilizes the transmission control protocol (TCP)/ internet protocol (IP) and the message queuing telemetry transport (MQTT) is used as the protocol for the global communication level. The proposed control strategy has been verified using a hypothetical hybrid DGs connected MG such as photovoltaic or wind turbines in MATLAB Simulink environment. Several scenarios based on the system load types are implemented using residential buildings and small commercial outlets. The simulation results have verified the feasibility and effectiveness of the introduced strategy for the MGs’ various operating conditions.

ACS Style

Bilal Alhasnawi; Basil Jasim; Bishoy Sedhom; Eklas Hossain; Josep Guerrero. A New Decentralized Control Strategy of Microgrids in the Internet of Energy Paradigm. Energies 2021, 14, 2183 .

AMA Style

Bilal Alhasnawi, Basil Jasim, Bishoy Sedhom, Eklas Hossain, Josep Guerrero. A New Decentralized Control Strategy of Microgrids in the Internet of Energy Paradigm. Energies. 2021; 14 (8):2183.

Chicago/Turabian Style

Bilal Alhasnawi; Basil Jasim; Bishoy Sedhom; Eklas Hossain; Josep Guerrero. 2021. "A New Decentralized Control Strategy of Microgrids in the Internet of Energy Paradigm." Energies 14, no. 8: 2183.

Journal article
Published: 01 February 2021 in International Journal of Electrical and Computer Engineering (IJECE)
Reads 0
Downloads 0

Finding accurate mathematical model of electrical equivalent circuit of solar photovoltaic (PV) cell is crucial to achieve and improve maximum power point, simulation design and efficiency computations for solar energy system. Due to the nonlinearity of the characteristic of solar PV cell, optimization methods are the best for estimating the electrical model parameters which lead to accurate estimating I-V curve. In this paper, camel behavior search algorithm is proposed as a new method for estimating the five different parameters for single diode model of PV solar module. This is tested on multicrystalline KC 200GT PV module. A measurement data of the module is used to verify and test the consistency of accurately estimating the set of parameters that govern the characteristics I-V relationship of solar cell. The simulation results show that the current-voltage characteristic and power-voltage curve obtained are matching to the measured experimental data set. For performance evaluation, the proposed method is simple, fast in convergence response and has an acceptable accuracy in obtaining the five estimated parameters.

ACS Style

Kadhim H. Hassan; Abdulmuttalib T. Rashid; Basil H. Jasim. Parameters estimation of solar photovoltaic module using camel behavior search algorithm. International Journal of Electrical and Computer Engineering (IJECE) 2021, 11, 788 -793.

AMA Style

Kadhim H. Hassan, Abdulmuttalib T. Rashid, Basil H. Jasim. Parameters estimation of solar photovoltaic module using camel behavior search algorithm. International Journal of Electrical and Computer Engineering (IJECE). 2021; 11 (1):788-793.

Chicago/Turabian Style

Kadhim H. Hassan; Abdulmuttalib T. Rashid; Basil H. Jasim. 2021. "Parameters estimation of solar photovoltaic module using camel behavior search algorithm." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1: 788-793.

Journal article
Published: 20 November 2020 in Sustainability
Reads 0
Downloads 0

There will be a dearth of electrical energy in the world in the future due to exponential increase in electrical energy demand of rapidly growing world population. With the development of Internet of Things (IoT), more smart appliances will be integrated into homes in smart cities that actively participate in the electricity market by demand response programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, the energy management strategy using a price-based demand response program is developed for IoT-enabled residential buildings. We propose a new EMS for smart homes for IoT-enabled residential building smart devices by scheduling to minimize cost of electricity, alleviate peak-to-average ratio, correct power factor, automatic protective appliances, and maximize user comfort. In this method, every home appliance is interfaced with an IoT entity (a data acquisition module) with a specific IP address, which results in a wide wireless system of devices. There are two components of the proposed system: software and hardware. The hardware is composed of a base station unit (BSU) and many terminal units (TUs). The software comprises Wi-Fi network programming as well as system protocol. In this study, a message queue telemetry transportation (MQTT) broker was installed on the boards of BSU and TU. In this paper, we present a low-cost platform for the monitoring and helping decision making about different areas in a neighboring community for efficient management and maintenance, using information and communication technologies. The findings of the experiments demonstrated the feasibility and viability of the proposed method for energy management in various modes. The proposed method increases effective energy utilization, which in turn increases the sustainability of IoT-enabled homes in smart cities. The proposed strategy automatically responds to power factor correction, to protective home appliances, and to price-based demand response programs to combat the major problem of the demand response programs, which is the limitation of consumer’s knowledge to respond upon receiving demand response signals. The schedule controller proposed in this paper achieved an energy saving of 6.347 kWh real power per day, this paper achieved saving 7.282 kWh apparent power per day, and the proposed algorithm in our paper saved $2.3228388 per day.

ACS Style

Bilal Alhasnawi; Basil Jasim; Maria Esteban; Josep Guerrero. A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances. Sustainability 2020, 12, 9686 .

AMA Style

Bilal Alhasnawi, Basil Jasim, Maria Esteban, Josep Guerrero. A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances. Sustainability. 2020; 12 (22):9686.

Chicago/Turabian Style

Bilal Alhasnawi; Basil Jasim; Maria Esteban; Josep Guerrero. 2020. "A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances." Sustainability 12, no. 22: 9686.

Journal article
Published: 03 September 2020 in Applied Sciences
Reads 0
Downloads 0

This paper presents a novel cooperative control technique concerning fully-distributed AC/DC microgrids. Distributed generation based on inverters has two types, i.e., Current Source Inverter (CSI), also referred to as PQ inverter, and Voltage Source Inverter (VSI). Both inverter forms have a two-layer coordination mechanism. This paper proposes a design method for the digital Proportional-Resonant (PR) controller that regulates the current inside an inverter. The inverters will improve the voltage quality of the microgrid while maintaining the average voltage of buses at the same desired level. There is comprehensive detail on the computations specific to resonant and proportional gains and digital resonance path coefficients. The paper includes a digital PR controller design and its analysis in the frequency domain. The analysis is based on the w-domain. The main contribution of this paper is the proposed method, which not only focuses on the transient response but also improves the steady-state response which smoothens the voltage; furthermore, all inverters are effectively involved to increase the capacity of the microgrid for better power management. The suggested cooperative control technique is used on an IEEE 14-bus system having fully distributed communication. The convincing outcomes indicate that the suggested control technique is an effectual means of regulating the microgrid’s voltage to obtain an evener and steady voltage profile. The microgrid comprises distributed resources and is used as the primary element to analyse power flow and quality indicators associated with a smart grid. Lastly, numerical simulation observations are utilised for substantiating the recommended algorithm.

ACS Style

Bilal Naji Naji Alhasnawi; Basil H. Jasim; Walid Issa; M. Dolores Esteban. A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids. Applied Sciences 2020, 10, 6120 .

AMA Style

Bilal Naji Naji Alhasnawi, Basil H. Jasim, Walid Issa, M. Dolores Esteban. A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids. Applied Sciences. 2020; 10 (17):6120.

Chicago/Turabian Style

Bilal Naji Naji Alhasnawi; Basil H. Jasim; Walid Issa; M. Dolores Esteban. 2020. "A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids." Applied Sciences 10, no. 17: 6120.

Journal article
Published: 16 July 2020 in Sustainability
Reads 0
Downloads 0

The recent few years have seen renewable energy becoming immensely popular. Renewable energy generation capacity has risen in both standalone and grid-connected systems. The chief reason is the ability to produce clean energy, which is both environmentally friendly and cost effective. This paper presents a new control algorithm along with a flexible energy management system to minimize the cost of operating a hybrid microgrid. The microgrid comprises fuel cells, photovoltaic cells, super capacitors, and other energy storage systems. There are three stages in the control system: an energy management system, supervisory control, and local control. The energy management system allows the control system to create an optimal day-ahead power flow schedule between the hybrid microgrid components, loads, batteries, and the electrical grid by using inputs from economic analysis. The discrepancy between the scheduled power and the real power delivered by the hybrid microgrid is adjusted for by the supervisory control stage. Additionally, this paper provides a design for the local control system to manage local power, DC voltage, and current in the hybrid microgrid. The operation strategy of energy storage systems is proposed to solve the power changes from photovoltaics and houses load fluctuations locally, instead of reflecting those disturbances to the utility grid. Furthermore, the energy storage systems energy management scheme will help to achieve the peak reduction of the houses’ daily electrical load demand. Also, the control of the studied hybrid microgrid is designed as a method to improve hybrid microgrid resilience and incorporate renewable power generation and storage into the grid. The simulation results verified the effectiveness and feasibility of the introduced strategy and the capability of proposed controller for a hybrid microgrid operating in different modes. The results showed that (1) energy management and energy interchange were effective and contributed to cost reductions, CO2 mitigation, and reduction of primary energy consumption, and (2) the newly developed energy management system proved to provide more robust and high performance control than conventional energy management systems. Also, the results demonstrate the effectiveness of the proposed robust model for microgrid energy management.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim; M. Dolores Esteban. A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy. Sustainability 2020, 12, 5724 .

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim, M. Dolores Esteban. A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy. Sustainability. 2020; 12 (14):5724.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim; M. Dolores Esteban. 2020. "A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy." Sustainability 12, no. 14: 5724.

Journal article
Published: 06 July 2020 in Energies
Reads 0
Downloads 0

This research work puts forward a hybrid AC/DC microgrid with renewable energy sources pertaining to consumer’s residential area for meeting the demand. Currently, the power generation and consumption have experienced key transformations. One such tendency would be integration of microgrids into the distribution network that is characterized by high penetration of renewable energy resources as well as operations in parallel. Traditional droop control can be employed in order to get an accurate steady state averaged active power sharing amongst parallel inverters pertaining to hybrid AC/DC microgrid. It is presumed that there would be similar transient average power responses, and there would be no circulating current flowing between the units for identical inverters possessing the same droop gain. However, the instantaneous power could be affected by different line impedances considerably and thus resulting in variation in circulating power that flows amongst inverters, especially during unexpected disturbances like load changes. This power, if absorbed by the inverter, could result in sudden DC-link voltage rise and trip the inverter, which in turn causes performance degradation of the entire hybrid microgrid. When the hybrid generators act as unidirectional power source, the issue worsens further. In this research work, we have put forward a new distributed coordinated control pertaining to hybrid microgrid, which can be applied for both grid connected and islanded modes that include variable loads and hybrid energy resources. Also, in order to choose the most effective controller scheme, a participation factor analysis has been designed for binding the DC-link voltage as well as reducing the circulating power. Moreover, to both photovoltaic stations and wind turbines, maximum power point tracking (MPPT) techniques have been used in order to extract the maximum power from hybrid power system when there is discrepancy in environmental circumstances. Lastly, the feasibility and effectiveness pertaining to the introduced strategy for hybrid microgrid in various modes are confirmed via simulation results.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim; Amjad Anvari-Moghaddam; Frede Blaabjerg. A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications. Energies 2020, 13, 3480 .

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim, Amjad Anvari-Moghaddam, Frede Blaabjerg. A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications. Energies. 2020; 13 (13):3480.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim; Amjad Anvari-Moghaddam; Frede Blaabjerg. 2020. "A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications." Energies 13, no. 13: 3480.

Journal article
Published: 21 March 2020 in IOP Conference Series: Materials Science and Engineering
Reads 0
Downloads 0

In this article, a simulation platform is used to design and test the proposed controller and to study the performance of the eight legs walking robot based on SimScape Multibody toolbox. We show that, by using the SimScape Multibody toolbox, the intelligent controller can be designed without needing for the mathematical model of the legged robot. This toolbox is used to simulate and visualize the motion of the legged robot with the proposed controller. The fuzzy technique is used for designing a control system for the walking robot. The particle swarm optimization (PSO) algorithm is used to obtain the optimal parameters of output membership function of the proposed fuzzy controller. The effectiveness and robustness of the designed controller are studied by changing the carried load by the walking robot. The obtained results demonstrate efficiently the validity of the proposed controller for guiding the walking robot when the disturbance is applied.

ACS Style

Ammar A. Aldair; Auday Al-Mayyahi; Basil H. Jasim. Control of Eight-Leg Walking Robot Using Fuzzy Technique Based on SimScape Multibody Toolbox. IOP Conference Series: Materials Science and Engineering 2020, 745, 1 .

AMA Style

Ammar A. Aldair, Auday Al-Mayyahi, Basil H. Jasim. Control of Eight-Leg Walking Robot Using Fuzzy Technique Based on SimScape Multibody Toolbox. IOP Conference Series: Materials Science and Engineering. 2020; 745 ():1.

Chicago/Turabian Style

Ammar A. Aldair; Auday Al-Mayyahi; Basil H. Jasim. 2020. "Control of Eight-Leg Walking Robot Using Fuzzy Technique Based on SimScape Multibody Toolbox." IOP Conference Series: Materials Science and Engineering 745, no. : 1.

Journal article
Published: 01 October 2018 in Future Internet
Reads 0
Downloads 0

Radio frequency identification (RFID) technology has widely been used in the last few years. Its applications focus on auto identification, tracking, and data capturing issues. However, RFID suffers from the main problem of tags collision when multiple tags simultaneously respond to the reader request. Many protocols were proposed to solve the collision problems with good identification efficiency and an acceptable time delay, such as the blocking anti-collision protocol (BA). Nevertheless, most of these protocols assumed that the RFID reader could decode the tag’s signal only when there was one tag responding to the reader request once each time. Hence, they ignored the phenomenon of the capture effect, which results in identifying the tag with the stronger signal as the multiple tags simultaneously respond. As a result, many tags will not be identified under the capture effect. Therefore, the purpose of this paper is to take the capture effect phenomenon into consideration in order to modify the blocking BA protocol to ensure a full read rate, i.e., identifying all the tags in the frame without losing any tag. Moreover, the modifications include distinguishing between collision and interference responses (for the period of staying tags) in the noisy environments, for the purpose of enhancing the efficiency of the identification. Finally, the simulation and analytical results show that our modifications and MBA protocol outperform the previous protocols in the same field, such as generalized query tree protocols (GQT1 and GQT2), general binary tree (GBT), and tweaked binary tree (TBT).

ACS Style

Isam A. Hussein; Basil H. Jasim; Ramzy S. Ali. A Modified BA Anti-Collision Protocol for Coping with Capture Effect and Interference in RFID Systems. Future Internet 2018, 10, 96 .

AMA Style

Isam A. Hussein, Basil H. Jasim, Ramzy S. Ali. A Modified BA Anti-Collision Protocol for Coping with Capture Effect and Interference in RFID Systems. Future Internet. 2018; 10 (10):96.

Chicago/Turabian Style

Isam A. Hussein; Basil H. Jasim; Ramzy S. Ali. 2018. "A Modified BA Anti-Collision Protocol for Coping with Capture Effect and Interference in RFID Systems." Future Internet 10, no. 10: 96.

Conference paper
Published: 01 March 2018 in 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA)
Reads 0
Downloads 0

The main objective of this article is to develop a smart home system using SCADA, Raspberry Pi3 Module and Wemos-Dl board. Nowadays people are expecting to control the home appliances through remote control. This expectation is fulfilled by our advanced technology. In this paper, we are using SCADA, Transmission Control Protocol/Internet Protocol (TCP/IP) and Message Queuing Telemetry Transport (MQTT) to develop a smart home system. Modern homes are expected to have centralized control system, instead of conventional switches which are fitted on walls. If the user wants to control the appliances, he has to move near the wall and control the switches. This method is inconvenient for the elderly and disabled people. So their difficulty to operate the appliances can be supported by the proposed smart home system which has a remote module to control the appliances. Remote controlled smart home system fulfills the needs of the people. Remote control operation is achieved by a PC (Personal Computer) is supported by IGSS SCADA. In the PC with TCP/IP protocol acts as a transmitter, which sends commands to the Raspberry Pi3 module. Raspberry Pi3 receives the commands from SCADA. Raspberry Pi3 send the commands with addresses to a terminal units (Wemos-Dl board) by MQTT. Each terminal unit receives the address from the Raspberry Pi3, if the terminal unit address matches the Raspberry Pi3, it can control devices or measured parameter, then sends this parameter with its address to the Raspberry Pi3. The Raspberry Pi3 sends these data to owner's PC. In this article Wemos-D1 controller board which contains an ESP8266 IC is used. The loads are interfaced to the Wemos-D1 controller using electromagnetic relays.

ACS Style

Bilal Naji Alhasnawi; Basil H. Jasim. SCADA controlled smart home using Raspberry Pi3. 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA) 2018, 1 -6.

AMA Style

Bilal Naji Alhasnawi, Basil H. Jasim. SCADA controlled smart home using Raspberry Pi3. 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA). 2018; ():1-6.

Chicago/Turabian Style

Bilal Naji Alhasnawi; Basil H. Jasim. 2018. "SCADA controlled smart home using Raspberry Pi3." 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA) , no. : 1-6.