The Experts below are selected from a list of 123 Experts worldwide ranked by ideXlab platform
Mohamed Ebeed - One of the best experts on this subject based on the ideXlab platform.
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optimal scheduling of hydro thermal wind photovoltaic generation using lightning Attachment Procedure optimizer
Sustainability, 2021Co-Authors: Maha Mohamed, Mohamed Ebeed, Salah Kamel, Abdelraheem Youssef, Ehab E ElattarAbstract:This paper presents an effective solution for the short-term hydrothermal generation scheduling (STHS) problem using an integration of wind and photovoltaic power (PV) system. Wind and PV power are integrated into the power system to minimize the total fuel cost of thermal units. In this paper, the lightning Attachment Procedure optimization algorithm (LAPO) is employed to solve the STHS problem using the wind and PV power integration system. The proposed method is applied for solving five test systems with different characteristics, considering the valve-point loading impact of the thermal unit. The first and third test systems include hydro and thermal units only, and the rest of the systems consist of hydro and thermal units with integrating wind and PV power-generating units to inspect the effect of renewable energy sources in the selected test systems. The simulation results are compared with other studied methods. It is found that the proposed method is superior, and it has the ability to obtain the best solutions with respect to other optimization methods that are implemented to solve the STHS problem.
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a novel modified lightning Attachment Procedure optimization technique for optimal allocation of the facts devices in power systems
IEEE Access, 2021Co-Authors: Noor Habib Khan, Yong Wang, De Tian, Raheela Jamal, Sheeraz Iqbal, Mubaarak Abdulrahman Abdu Saif, Mohamed EbeedAbstract:The Flexible AC Transmission Systems (FACTS) are the static power electronic devices that are installed and used in AC transmission networks to enhance the capability of transferring the power for providing the controllability and stability. However, the optimization of site and size of these devices is a crucial task due to their high capital cost and practical capabilities. In this paper, the optimal reactive power dispatch (ORPD) embedded with two effective controllers including the Static VAR Compensator (SVC) and Thyristor Control Series Capacitor (TCSC) is solved using a Modified Lightning Attachment Procedure Optimizer (MLAPO). The searching capability of basic LAPO is enhanced and the stagnation of basic LAPO is avoided by application of levy flight distribution and spiral orientation motion. The optimization for these devices is for reducing the power losses, voltage deviations, and the operating cost. MLAPO is examined and tested on modified IEEE30 and IEEE57 bus-standards considering SVC and TCSC. The effectiveness of MLAPO is further analyzed and compared with the outcomes of the well-known optimization techniques namely LAPO, PSO, ALO, EO, MPA, WOA and SCA with and without FACTS devices.
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lightning Attachment Procedure optimization algorithm for nonlinear non convex short term hydrothermal generation scheduling
Soft Computing, 2020Co-Authors: Maha Mohamed, Salah Kamel, Abdelraheem Youssef, Mohamed EbeedAbstract:Short-term hydrothermal scheduling (STHS) is considered an important problem in the field of power system economics. The solution of this problem gives the hourly output of power generation schedule of the available hydro and thermal power units, which leads to minimization of the total fuel cost of thermal units for a given period of a time. The optimal generation of STHS is considered as a complicated and nonlinear optimization problem with a set of equality and inequality constraints such as the valve point loading effect of thermal units, the power transmission loss and the load balance. This paper proposes lightning Attachment Procedure Optimization (LAPO) algorithm for solving the nonlinear non-convex STHS optimization problem in order to minimize the operating fuel cost of thermal units with satisfying the operating constraints of the system. The performance of LAPO algorithm is validated using three different test systems considering the valve point loading effects of thermal units and the power transmission losses. The obtained results prove the effectiveness and superiority of LAPO algorithm for solving the STHS problem compared with other well-known optimization techniques.
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an improved lightning Attachment Procedure optimizer for optimal reactive power dispatch with uncertainty in renewable energy resources
IEEE Access, 2020Co-Authors: Mohamed Ebeed, Abdelfatah Ali, Mohamed I Mosaad, Salah KamelAbstract:Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning Attachment Procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning Attachment Procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The scenario-based method is used to generate a set of scenarios captured from the uncertainties of solar irradiance and wind speed as well as load demand. The proposed ILAPO algorithm is employed to, optimally, dispatch the reactive power in the presence of RERs. The power losses and the total voltage deviations are used as objective functions to be minimized. The proposed algorithm is validated using IEEE 30-bus system under deterministic and probabilistic conditions. The obtained results verified the efficacy of the proposed ILAPO for ORPD solution compared with the traditional LAPO and other reported optimization algorithms.
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combined economic and emission dispatch analysis using lightning Attachment Procedure optimizer
International Middle East Power Systems Conference, 2019Co-Authors: Ahmed Refai, Mohamed Ebeed, Salah KamelAbstract:The Economic Load Dispatch (ELD) is defined as the optimal sharing for the system load demand between the available generators in order to minimize the total cost, while the Combined Economic Emission Dispatch (CEED) problem refers to optimal dispatch among the available generators for cost minimization considering the environmental impacts. In this paper, the ELD and CEED are solved using an advanced physical based optimization technique called Lightning Attachment Procedure Optimization (LAPO) algorithm. The algorithm is validated using two test systems which have 10 and 40 units considering the valve point loading effect. The outcome demonstrates that the developed algorithm is a superior and very effective algorithm for solving ELD and CEED problems compared with other reported techniques.
Behrooz Vahidi - One of the best experts on this subject based on the ideXlab platform.
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a novel multi objective optimization algorithm based on lightning Attachment Procedure optimization algorithm
Applied Soft Computing, 2019Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Abstract In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Front (POF), based on crowding distance, are stored in a repository matrix called an Archive matrix. The Procedure is performed such that the final best solutions are distributed evenly along the optimal PF. Then, the proposed algorithm is tested by some multi-objective optimization functions and some classical engineering problems also. The results are compared to those of four well-known methods and then discussed. The results are compared using 4 criteria which show how to select a POF close to the true POF, how the results are distributed, and how close the final results approximate all the possible outcomes of true POF. It is shown that the proposed method outperforms the other methods with regards to 3 criteria and yields comparable results regarding the last criteria. Superiority of the proposed method in finding the true POF while covering a wide range of possible optimal results is discussed in the results section. Therefore, it is concluded that the proposed method does an excellent job at solving a wide range of multi-objective optimization problems.
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a novel physical based meta heuristic optimization method known as lightning Attachment Procedure optimization
Applied Soft Computing, 2017Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Display Omitted In this paper a novel meta-heuristic optimization algorithm known as lightning LAPO is proposed.The purposed method is free from any parameter tuning.Two phase solution updating in each iteration increase the balancing of exploration and exploitation. In this article, A novel nature-inspired optimization algorithm known as Lightning Attachment Procedure Optimization (LAPO) is proposed. The proposed approach mimics the lightning Attachment Procedure including the downward leader movement, the upward leader propagation, the unpredictable trajectory of lightning downward leader, and the branch fading feature of lightning. Final optimum result would be the lightning striking point. The proposed method is free from any parameter tuning and it is rarely stuck in the local optimum points. To evaluate the proposed algorithm, 29 mathematical benchmark functions are employed and the results are compared to those of 9 high quality well-known optimization methods The results of the proposed method are compared from different points of views, including quality of the results, convergence behavior, robustness, and CPU time consumption. Superiority and high quality performance of the proposed method are demonstrated through comparing the results. Moreover, the proposed method is also tested by five classical engineering design problems including tension/compression spring, welded beam, pressure vessel designs, Gear train design, and Cantilever beam design and a high constraint optimization problem known as Optimal Power Flow (OPF) which is a high constraint electrical engineering problem. The excellence performance of the proposed method in solving the problems with large number of constraints and also discrete optimization problems are also concluded from the results of the six engineering problem.
Salah Kamel - One of the best experts on this subject based on the ideXlab platform.
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optimal scheduling of hydro thermal wind photovoltaic generation using lightning Attachment Procedure optimizer
Sustainability, 2021Co-Authors: Maha Mohamed, Mohamed Ebeed, Salah Kamel, Abdelraheem Youssef, Ehab E ElattarAbstract:This paper presents an effective solution for the short-term hydrothermal generation scheduling (STHS) problem using an integration of wind and photovoltaic power (PV) system. Wind and PV power are integrated into the power system to minimize the total fuel cost of thermal units. In this paper, the lightning Attachment Procedure optimization algorithm (LAPO) is employed to solve the STHS problem using the wind and PV power integration system. The proposed method is applied for solving five test systems with different characteristics, considering the valve-point loading impact of the thermal unit. The first and third test systems include hydro and thermal units only, and the rest of the systems consist of hydro and thermal units with integrating wind and PV power-generating units to inspect the effect of renewable energy sources in the selected test systems. The simulation results are compared with other studied methods. It is found that the proposed method is superior, and it has the ability to obtain the best solutions with respect to other optimization methods that are implemented to solve the STHS problem.
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lightning Attachment Procedure optimization algorithm for nonlinear non convex short term hydrothermal generation scheduling
Soft Computing, 2020Co-Authors: Maha Mohamed, Salah Kamel, Abdelraheem Youssef, Mohamed EbeedAbstract:Short-term hydrothermal scheduling (STHS) is considered an important problem in the field of power system economics. The solution of this problem gives the hourly output of power generation schedule of the available hydro and thermal power units, which leads to minimization of the total fuel cost of thermal units for a given period of a time. The optimal generation of STHS is considered as a complicated and nonlinear optimization problem with a set of equality and inequality constraints such as the valve point loading effect of thermal units, the power transmission loss and the load balance. This paper proposes lightning Attachment Procedure Optimization (LAPO) algorithm for solving the nonlinear non-convex STHS optimization problem in order to minimize the operating fuel cost of thermal units with satisfying the operating constraints of the system. The performance of LAPO algorithm is validated using three different test systems considering the valve point loading effects of thermal units and the power transmission losses. The obtained results prove the effectiveness and superiority of LAPO algorithm for solving the STHS problem compared with other well-known optimization techniques.
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an improved lightning Attachment Procedure optimizer for optimal reactive power dispatch with uncertainty in renewable energy resources
IEEE Access, 2020Co-Authors: Mohamed Ebeed, Abdelfatah Ali, Mohamed I Mosaad, Salah KamelAbstract:Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning Attachment Procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning Attachment Procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The scenario-based method is used to generate a set of scenarios captured from the uncertainties of solar irradiance and wind speed as well as load demand. The proposed ILAPO algorithm is employed to, optimally, dispatch the reactive power in the presence of RERs. The power losses and the total voltage deviations are used as objective functions to be minimized. The proposed algorithm is validated using IEEE 30-bus system under deterministic and probabilistic conditions. The obtained results verified the efficacy of the proposed ILAPO for ORPD solution compared with the traditional LAPO and other reported optimization algorithms.
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combined economic and emission dispatch analysis using lightning Attachment Procedure optimizer
International Middle East Power Systems Conference, 2019Co-Authors: Ahmed Refai, Mohamed Ebeed, Salah KamelAbstract:The Economic Load Dispatch (ELD) is defined as the optimal sharing for the system load demand between the available generators in order to minimize the total cost, while the Combined Economic Emission Dispatch (CEED) problem refers to optimal dispatch among the available generators for cost minimization considering the environmental impacts. In this paper, the ELD and CEED are solved using an advanced physical based optimization technique called Lightning Attachment Procedure Optimization (LAPO) algorithm. The algorithm is validated using two test systems which have 10 and 40 units considering the valve point loading effect. The outcome demonstrates that the developed algorithm is a superior and very effective algorithm for solving ELD and CEED problems compared with other reported techniques.
Foroughi A Nematollahi - One of the best experts on this subject based on the ideXlab platform.
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a novel multi objective optimization algorithm based on lightning Attachment Procedure optimization algorithm
Applied Soft Computing, 2019Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Abstract In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Front (POF), based on crowding distance, are stored in a repository matrix called an Archive matrix. The Procedure is performed such that the final best solutions are distributed evenly along the optimal PF. Then, the proposed algorithm is tested by some multi-objective optimization functions and some classical engineering problems also. The results are compared to those of four well-known methods and then discussed. The results are compared using 4 criteria which show how to select a POF close to the true POF, how the results are distributed, and how close the final results approximate all the possible outcomes of true POF. It is shown that the proposed method outperforms the other methods with regards to 3 criteria and yields comparable results regarding the last criteria. Superiority of the proposed method in finding the true POF while covering a wide range of possible optimal results is discussed in the results section. Therefore, it is concluded that the proposed method does an excellent job at solving a wide range of multi-objective optimization problems.
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a novel physical based meta heuristic optimization method known as lightning Attachment Procedure optimization
Applied Soft Computing, 2017Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Display Omitted In this paper a novel meta-heuristic optimization algorithm known as lightning LAPO is proposed.The purposed method is free from any parameter tuning.Two phase solution updating in each iteration increase the balancing of exploration and exploitation. In this article, A novel nature-inspired optimization algorithm known as Lightning Attachment Procedure Optimization (LAPO) is proposed. The proposed approach mimics the lightning Attachment Procedure including the downward leader movement, the upward leader propagation, the unpredictable trajectory of lightning downward leader, and the branch fading feature of lightning. Final optimum result would be the lightning striking point. The proposed method is free from any parameter tuning and it is rarely stuck in the local optimum points. To evaluate the proposed algorithm, 29 mathematical benchmark functions are employed and the results are compared to those of 9 high quality well-known optimization methods The results of the proposed method are compared from different points of views, including quality of the results, convergence behavior, robustness, and CPU time consumption. Superiority and high quality performance of the proposed method are demonstrated through comparing the results. Moreover, the proposed method is also tested by five classical engineering design problems including tension/compression spring, welded beam, pressure vessel designs, Gear train design, and Cantilever beam design and a high constraint optimization problem known as Optimal Power Flow (OPF) which is a high constraint electrical engineering problem. The excellence performance of the proposed method in solving the problems with large number of constraints and also discrete optimization problems are also concluded from the results of the six engineering problem.
Abolfazl Rahiminejad - One of the best experts on this subject based on the ideXlab platform.
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a novel multi objective optimization algorithm based on lightning Attachment Procedure optimization algorithm
Applied Soft Computing, 2019Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Abstract In this paper, a novel multi-objective optimization method based on a recently introduced algorithm known as Lightning Attachment Procedure Optimization (LAPO) is presented. The proposed algorithm is based on non-dominated sorting approach where the best solutions chosen from the Pareto Optimal Front (POF), based on crowding distance, are stored in a repository matrix called an Archive matrix. The Procedure is performed such that the final best solutions are distributed evenly along the optimal PF. Then, the proposed algorithm is tested by some multi-objective optimization functions and some classical engineering problems also. The results are compared to those of four well-known methods and then discussed. The results are compared using 4 criteria which show how to select a POF close to the true POF, how the results are distributed, and how close the final results approximate all the possible outcomes of true POF. It is shown that the proposed method outperforms the other methods with regards to 3 criteria and yields comparable results regarding the last criteria. Superiority of the proposed method in finding the true POF while covering a wide range of possible optimal results is discussed in the results section. Therefore, it is concluded that the proposed method does an excellent job at solving a wide range of multi-objective optimization problems.
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a novel physical based meta heuristic optimization method known as lightning Attachment Procedure optimization
Applied Soft Computing, 2017Co-Authors: Foroughi A Nematollahi, Abolfazl Rahiminejad, Behrooz VahidiAbstract:Display Omitted In this paper a novel meta-heuristic optimization algorithm known as lightning LAPO is proposed.The purposed method is free from any parameter tuning.Two phase solution updating in each iteration increase the balancing of exploration and exploitation. In this article, A novel nature-inspired optimization algorithm known as Lightning Attachment Procedure Optimization (LAPO) is proposed. The proposed approach mimics the lightning Attachment Procedure including the downward leader movement, the upward leader propagation, the unpredictable trajectory of lightning downward leader, and the branch fading feature of lightning. Final optimum result would be the lightning striking point. The proposed method is free from any parameter tuning and it is rarely stuck in the local optimum points. To evaluate the proposed algorithm, 29 mathematical benchmark functions are employed and the results are compared to those of 9 high quality well-known optimization methods The results of the proposed method are compared from different points of views, including quality of the results, convergence behavior, robustness, and CPU time consumption. Superiority and high quality performance of the proposed method are demonstrated through comparing the results. Moreover, the proposed method is also tested by five classical engineering design problems including tension/compression spring, welded beam, pressure vessel designs, Gear train design, and Cantilever beam design and a high constraint optimization problem known as Optimal Power Flow (OPF) which is a high constraint electrical engineering problem. The excellence performance of the proposed method in solving the problems with large number of constraints and also discrete optimization problems are also concluded from the results of the six engineering problem.