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Haider Tarish Haider
Department of Computer Engineering, University of Mustansiriyah, Baghdad, Iraq

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Journal article
Published: 06 June 2021 in Renewable Energy Focus
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An adaptive multi-objective optimization method for demand response is proposed. Epsilon constrains method is used to get a single point lies within Pareto front. A tiered incentive can encourage customers to participate in demand response program. The results indicate significant cost reduction (53.34%) and peak load (43.04%). The current grid system is unable to meet the ever-increasing demands for energy due to annual population growth and the increasing number of energy-consuming devices that are being used in the modern era. One solution that helps to balance available generation capacity with required demand, and increases the grid reliability is the demand response (DR). For this purpose, this paper presents a residential load scheduling algorithm to manage the operation time of household appliances depending on the time of use (ToU) tariff. A self-adapting multi-objective differential evolution (SaMODE) algorithm was developed to find the optimal operation points of home energy appliances, with the aim of minimizing the customer electricity bill and peak load while maintaining the customer's convenience. The proposed tri-objective problem is solved by using the Epsilon-constraint optimization method. In addition, a prior approach is adopted to manage the tradeoff among objectives according to the customer's preferences. The desirable customer preferences are ensured through the prior approach by restricting two objectives to specific values, then finding an optimal corresponding solution for them. The findings and discussion demonstrate that the proposed SaMODE strategy benefits the customers by reducing their energy bill for up to 53.34% with an acceptable level of inconvenience. On the other hand, the power suppliers have also received benefits by decreasing the peak energy demand by up to 43.04%, which in turn increases the stability of the power system and lessen the burden on the utility company.

ACS Style

Mustafa Ibrahim Mansoor; Haider Tarish Haider. A multi-objective residential load management based on self-adapting differential evolution. Renewable Energy Focus 2021, 38, 44 -56.

AMA Style

Mustafa Ibrahim Mansoor, Haider Tarish Haider. A multi-objective residential load management based on self-adapting differential evolution. Renewable Energy Focus. 2021; 38 ():44-56.

Chicago/Turabian Style

Mustafa Ibrahim Mansoor; Haider Tarish Haider. 2021. "A multi-objective residential load management based on self-adapting differential evolution." Renewable Energy Focus 38, no. : 44-56.

Conference paper
Published: 01 February 2021 in IOP Conference Series: Materials Science and Engineering
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An accurate parameters extraction of photovoltaic (PV) module is necessary as it plays an essential role in determining the performance of PV system. Therefore, an electromagnetism-like algorithm (EMLA) is proposed to optimally estimate associated parameters of double-diode PV module model. The parameters are optimized based on a proposed fitness function, which depends on the root mean square error between the experimental and computed PV output current. Seven different experimental data sets of I-V curve are utilized to verify the presented approach under various operation conditions. The results show there is a high fitness between the estimated and realistic I-V curves under different weather conditions. Furthermore, the results are validated with another model that proposed in literature under different statistical indices. Finally, the proposed PV modeling method exhibits under all operation conditions an average root mean square error, average mean bias error and average determination coefficient under all operation conditions were 0.0799, 0.0088, and 0.9863, respectively.

ACS Style

H T Haider; D H Muhsen; H F Mahdi. Electromagnetism-Like Algorithm-Based Parameters Estimation of Double-Diode PV-Module Model. IOP Conference Series: Materials Science and Engineering 2021, 1076, 012002 .

AMA Style

H T Haider, D H Muhsen, H F Mahdi. Electromagnetism-Like Algorithm-Based Parameters Estimation of Double-Diode PV-Module Model. IOP Conference Series: Materials Science and Engineering. 2021; 1076 (1):012002.

Chicago/Turabian Style

H T Haider; D H Muhsen; H F Mahdi. 2021. "Electromagnetism-Like Algorithm-Based Parameters Estimation of Double-Diode PV-Module Model." IOP Conference Series: Materials Science and Engineering 1076, no. 1: 012002.

Journal article
Published: 01 July 2019 in Acta Polytechnica
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The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).

ACS Style

Haider Tarish Haider; Dhiaa Halboot Muhsen; Haider Ismael Shahadi; Ong Hang See; Wilfried Elmenreich. DYNAMIC SMART GRID COMMUNICATION PARAMETERS BASED COGNITIVE RADIO NETWORK. Acta Polytechnica 2019, 59, 248 -259.

AMA Style

Haider Tarish Haider, Dhiaa Halboot Muhsen, Haider Ismael Shahadi, Ong Hang See, Wilfried Elmenreich. DYNAMIC SMART GRID COMMUNICATION PARAMETERS BASED COGNITIVE RADIO NETWORK. Acta Polytechnica. 2019; 59 (3):248-259.

Chicago/Turabian Style

Haider Tarish Haider; Dhiaa Halboot Muhsen; Haider Ismael Shahadi; Ong Hang See; Wilfried Elmenreich. 2019. "DYNAMIC SMART GRID COMMUNICATION PARAMETERS BASED COGNITIVE RADIO NETWORK." Acta Polytechnica 59, no. 3: 248-259.

Journal article
Published: 11 June 2019 in Sustainable Cities and Society
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The increasing in energy demand leads to wide range of blackout crises around the worldwide. Load management is represented as one of the most important solutions to balance the energy demand with the available generation resource. Dynamic and adaptive method is required to sort all multi-objective sets of optimal solutions of customer load scheduling. A multi-objective optimization differential evolution (MODE) algorithm in this paper is used to obtain a set of optimal customer load management by minimizing the energy cost and customer’s inconvenience simultaneously. The obtained optimal set of solutions are sorted from the best to the worst using multi-criteria decision making (MCDM) methods. An integration of analytic hierarchy process (AHP) and technique for order preferences by similarity to ideal solution (TOPSIS) are used as MCDM methods. The effect of different time slots on the given optimal solutions are addressed for real customer’s data of a typical household. Results of simulation indicate that the proposed method manages to realize energy cost saving of 44%, 44% and 32% for 1, 5 and 10 min time slots, respectively. Moreover, the peak load savings are 42%, 31% and 41% for 1, 5 and 10 min time slots, respectively. Furthermore, the results are validated by other approaches presented earlier in literature to support the findings of the proposed method. The proposed method provides superior saving for energy cost and peak consumption as well as maintains an acceptable range of customer inconvenience.

ACS Style

Dhiaa Halboot Muhsen; Haider Tarish Haider; Yaarob Mahjoob Al-Nidawi; Tamer Khatib. Domestic load management based on integration of MODE and AHP-TOPSIS decision making methods. Sustainable Cities and Society 2019, 50, 101651 .

AMA Style

Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Mahjoob Al-Nidawi, Tamer Khatib. Domestic load management based on integration of MODE and AHP-TOPSIS decision making methods. Sustainable Cities and Society. 2019; 50 ():101651.

Chicago/Turabian Style

Dhiaa Halboot Muhsen; Haider Tarish Haider; Yaarob Mahjoob Al-Nidawi; Tamer Khatib. 2019. "Domestic load management based on integration of MODE and AHP-TOPSIS decision making methods." Sustainable Cities and Society 50, no. : 101651.

Journal article
Published: 10 May 2019 in Electronics
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From the growth of residential energy demands has emerged new approaches for load scheduling to realize better energy consumption by shifting the required demand in response to cost changes or incentive offers. In this paper, a hybrid method is proposed to optimize the load scheduling problem for cost and energy saving. The method comprises a multi-objective optimization differential evolution (MODE) algorithm to obtain a set of optimal solutions by minimizing the cost and peak of a load simultaneously, as a multi-objective function. Next, an integration of the analytic hierarchy process (AHP) and a technique for order preferences by similarity to ideal solution (TOPSIS) methods are used as multi-criteria decision making (MCDM) methods for sorting the optimal solutions’ set from the best to the worst, to enable the customer to choose the appropriate schedule time. The solutions are sorted based on the load peak and energy cost as multi-criteria. Data are for ten appliances of a household used for 24 h with a one-minute time slot. The results of the proposed method demonstrate both energy and cost savings of around 47% and 46%, respectively. Furthermore, the results are compared with other recent methods in the literature to show the superiority of the proposed method.

ACS Style

Dhiaa Halboot Muhsen; Haider Tarish Haider; Yaarob Al-Nidawi; Tamer Khatib. Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods. Electronics 2019, 8, 524 .

AMA Style

Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi, Tamer Khatib. Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods. Electronics. 2019; 8 (5):524.

Chicago/Turabian Style

Dhiaa Halboot Muhsen; Haider Tarish Haider; Yaarob Al-Nidawi; Tamer Khatib. 2019. "Optimal Home Energy Demand Management Based Multi-Criteria Decision Making Methods." Electronics 8, no. 5: 524.

Journal article
Published: 30 April 2019 in Acta Polytechnica
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Recent developments in communication and information technologies, plus the emerging of the Internet of Things (IoT) and machine to machine (M2M) principles, create the need to protect data from multiple types of attacks. In this paper, a secure and high capacity data communication model is proposed to protect the transmitted data based on identical frames between a secret and cover data. In this model, the cover data does not convey any embedded data (as in normal steganography system) or modify the secret message (as in traditional cryptography techniques). Alternatively, the proposed model sends the positions of the cover frames that are identical with the secret frames to the receiver side in order to recover the secret message. One of the significant advantages of the proposed model is the size of the secret key message which is considerably larger than the cover size, it may be even hundred times larger. Accordingly, the experimental results demonstrate a superior performance in terms of the capacity rate as compared to the traditional steganography techniques. Moreover, it has an advantage in terms of the required bandwidth to send the data or the required memory for saving when compared to the steganography methods, which need a bandwidth or memory up to 3-5 times of the original secret message. Where the length of the secret key (positions of the identical frames) that should be sent to the receiver increases by only 25% from the original secret message. This model is suitable for applications with a high level of security, high capacity rate and less bandwidth of communication or low storage devices.

ACS Style

Haider Tarish Haider; Dhiaa Halboot Muhsen; Haider Ismael Shahadib; Ong Hang See. A NEW AND ADAPTIVE SECURITY MODEL FOR PUBLIC COMMUNICATION BASED ON CORRELATION OF DATA FRAMES. Acta Polytechnica 2019, 59, 126 -133.

AMA Style

Haider Tarish Haider, Dhiaa Halboot Muhsen, Haider Ismael Shahadib, Ong Hang See. A NEW AND ADAPTIVE SECURITY MODEL FOR PUBLIC COMMUNICATION BASED ON CORRELATION OF DATA FRAMES. Acta Polytechnica. 2019; 59 (2):126-133.

Chicago/Turabian Style

Haider Tarish Haider; Dhiaa Halboot Muhsen; Haider Ismael Shahadib; Ong Hang See. 2019. "A NEW AND ADAPTIVE SECURITY MODEL FOR PUBLIC COMMUNICATION BASED ON CORRELATION OF DATA FRAMES." Acta Polytechnica 59, no. 2: 126-133.

Journal article
Published: 09 March 2019 in Energy
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Standalone photovoltaic system is promising sustainable energy source. Accurate modeling and sizing of these systems strongly affect the system’s feasibility. Thus, in this paper, optimal sizing of standalone photovoltaic system is conducted based on multi-objective differential evolution algorithm integrated with hybrid multi-criteria decision making methods. Multi-objective differential evolution algorithm is used to optimize set of configurations of a system by minimizing technical and cost objective functions simultaneously. After that, an analytical hierarchy process integrated with a technique for order preference by similarity to ideal solution are used to order preference of configurations based on the loss of load probability and life cycle cost of system. The results of the proposed sizing method are validated by a numerical method to explain the superiority of the proposed method. According to results, the proposed sizing method is faster than numerical method by around 27 times. This is because the multi-objective differential evolution algorithm requires roughly 0.23 of simulations that is required by numerical method. Furthermore, the performance of multi-objective differential evolution algorithm is evaluated by various metrics. As a result, for the adapted load demand, the optimal configuration is 63 PV modules and 66 battery unit with maximum capacity of 500Ah.

ACS Style

Dhiaa Halboot Muhsen; Moamen Nabil; Haider Tarish Haider; Tamer Khatib. A novel method for sizing of standalone photovoltaic system using multi-objective differential evolution algorithm and hybrid multi-criteria decision making methods. Energy 2019, 174, 1158 -1175.

AMA Style

Dhiaa Halboot Muhsen, Moamen Nabil, Haider Tarish Haider, Tamer Khatib. A novel method for sizing of standalone photovoltaic system using multi-objective differential evolution algorithm and hybrid multi-criteria decision making methods. Energy. 2019; 174 ():1158-1175.

Chicago/Turabian Style

Dhiaa Halboot Muhsen; Moamen Nabil; Haider Tarish Haider; Tamer Khatib. 2019. "A novel method for sizing of standalone photovoltaic system using multi-objective differential evolution algorithm and hybrid multi-criteria decision making methods." Energy 174, no. : 1158-1175.

Conference paper
Published: 30 November 2018 in IOP Conference Series: Materials Science and Engineering
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Information and communication technologies (ICT) have contributed greatly to society by solving many emergent problems to allow people to lead easier lives. One such problem is vehicle monitoring during parking or driving to ensure that the vehicle and the persons inside are in safe conditions. This research proposes a vehicle monitoring system using wireless technology and employing mobile phones and Arduino microcontrollers. The functions of the proposed system include sending alarm messages to the vehicle driver in case the vehicle is broken into or stolen. Further, in case of accident or exposure to the crime of theft or abduction during driving, the driver can send appeal messages, including the vehicle position, to family, friends, police, and ambulance services using only a single click. The system achieves these functions automatically in cases where the vehicle is erratic or in significant collisions. The communication distance between the vehicle and the receivers of the messages allows coverage in all regions served by mobile networks, thus covering a wide range. The system has been tested for several different cases and has succeeded in tests.

ACS Style

H I Shahadi; H T Haider; D H Muhsen. Vehicle monitoring based on GSM technology for safety and security. IOP Conference Series: Materials Science and Engineering 2018, 433, 012089 .

AMA Style

H I Shahadi, H T Haider, D H Muhsen. Vehicle monitoring based on GSM technology for safety and security. IOP Conference Series: Materials Science and Engineering. 2018; 433 (1):012089.

Chicago/Turabian Style

H I Shahadi; H T Haider; D H Muhsen. 2018. "Vehicle monitoring based on GSM technology for safety and security." IOP Conference Series: Materials Science and Engineering 433, no. 1: 012089.

Journal article
Published: 01 September 2017 in Energy Conversion and Management
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ACS Style

Dhiaa Muhsen; Tamer Khatib; Haider Tarish Haider. A feasibility and load sensitivity analysis of photovoltaic water pumping system with battery and diesel generator. Energy Conversion and Management 2017, 148, 287 -304.

AMA Style

Dhiaa Muhsen, Tamer Khatib, Haider Tarish Haider. A feasibility and load sensitivity analysis of photovoltaic water pumping system with battery and diesel generator. Energy Conversion and Management. 2017; 148 ():287-304.

Chicago/Turabian Style

Dhiaa Muhsen; Tamer Khatib; Haider Tarish Haider. 2017. "A feasibility and load sensitivity analysis of photovoltaic water pumping system with battery and diesel generator." Energy Conversion and Management 148, no. : 287-304.

Journal article
Published: 01 October 2016 in Energy
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ACS Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. Residential demand response scheme based on adaptive consumption level pricing. Energy 2016, 113, 301 -308.

AMA Style

Haider Tarish Haider, Ong Hang See, Wilfried Elmenreich. Residential demand response scheme based on adaptive consumption level pricing. Energy. 2016; 113 ():301-308.

Chicago/Turabian Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. 2016. "Residential demand response scheme based on adaptive consumption level pricing." Energy 113, no. : 301-308.

Review
Published: 01 June 2016 in Renewable and Sustainable Energy Reviews
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Advances in information and communication technologies (ICT) enable a great opportunity to develop the residential demand response that is relevant in smart grid applications. Demand response (DR) aims to manage the required demand to match the available energy resources without adding new generation capacity. Expanding the DR to cover the residential sector in addition to the industrial and commercial sectors gives rise to a wide range of challenges. This study presents an overview of the literature on residential DR systems, load-scheduling techniques, and the latest ICT that supports residential DR applications. Furthermore, challenges are highlighted and analyzed, which are likely to become relevant research topics with regard to the residential DR of smart grid. The literature review shows that most DR schemes suffer from an externality problem that involves the effect of high-level customer consumption on the price rates of other customers, especially during peak period. A recommendation for using adaptive multi-consumption level pricing scheme is presented to overcome this challenge. *Corresponding author at: Department of Electronics and Communication Engineering, Tenaga Nasional Universiti, P13-B-07-06, Sri Cempaka, Jalan Sepakat Indah 2/2 Taman Sep, Kajang 43000 Selangor, Malaysia. Tel.: +60 183262643.

ACS Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. A review of residential demand response of smart grid. Renewable and Sustainable Energy Reviews 2016, 59, 166 -178.

AMA Style

Haider Tarish Haider, Ong Hang See, Wilfried Elmenreich. A review of residential demand response of smart grid. Renewable and Sustainable Energy Reviews. 2016; 59 ():166-178.

Chicago/Turabian Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. 2016. "A review of residential demand response of smart grid." Renewable and Sustainable Energy Reviews 59, no. : 166-178.

Journal article
Published: 01 April 2016 in Electric Power Systems Research
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Demand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing demand for electricity has presented new opportunities for residential load scheduling systems to improve energy consumption by shifting or curtailing the demand required with respect to price change or emergency cases. In this paper, a dynamic residential load scheduling system (DRLS) is proposed for optimal scheduling of household appliances on the basis of an adaptive consumption level (CL) pricing scheme (ACLPS). The proposed load scheduling system encourages customers to manage their energy consumption within the allowable consumption allowance (CA) of the proposed DR pricing scheme to achieve lower energy bills. Simulation results show that employing the proposed DRLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of the aggregated load demand. For a given case study, the proposed residential load scheduling system based on ACLPS allows customers to reduce their energy bills by up to 53% and to decrease the peak load by up to 35%.

ACS Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. Dynamic residential load scheduling based on adaptive consumption level pricing scheme. Electric Power Systems Research 2016, 133, 27 -35.

AMA Style

Haider Tarish Haider, Ong Hang See, Wilfried Elmenreich. Dynamic residential load scheduling based on adaptive consumption level pricing scheme. Electric Power Systems Research. 2016; 133 ():27-35.

Chicago/Turabian Style

Haider Tarish Haider; Ong Hang See; Wilfried Elmenreich. 2016. "Dynamic residential load scheduling based on adaptive consumption level pricing scheme." Electric Power Systems Research 133, no. : 27-35.