Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches

In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris hawks optimizer (HHO) is a anew ins...

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Published in:	IEEE access Vol. 8; p. 1
Main Authors:	Selim, Ali, Kamel, Salah, Alghamdi, Ali S., Jurado, Francisco
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms DG placement Distribution systems Harris hawks optimizer Heuristic methods Multiple objective analysis Optimization Optimization techniques Placement power loss reduction Power losses reduction Radial distribution Single and multi-objective optimization voltage deviation Voltage deviation and voltage stability index Voltage stability
ISSN:	2169-3536, 2169-3536
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Abstract	In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris hawks optimizer (HHO) is a anew inspired meta-heuristic optimization technique that is mainly based on the intelligence behavior of the Harris hawks in chasing prey. The IHHO and MOIHHO are applied for determining the optimal size and location of DG with the aim of minimizing the total active power loss, reducing the voltage deviation (VD), and increasing the voltage stability index (VSI) with considering operational constraints of distribution system. In IHHO, the performance of conventional HHO algorithm is improved using the rabbit location instead of the random location. In MOIHHO, a developed grey relation analysis is applied for identifying the best compromise solution among the non-dominance Pareto solutions. To verify the effectiveness of the proposed algorithms, IEEE 33-bus and IEEE 69-bus radial distribution systems are used, and the obtained results are compared with the other optimization techniques which utilized for the same problem. The results prove the efficiency of the proposed algorithms in terms of best solutions obtained so far for the single- and multi-objective scenarios.
AbstractList	In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris Hawks optimizer (HHO) is a new inspired meta-heuristic optimization technique that is mainly based on the intelligence behavior of the Harris hawks in chasing prey. The IHHO and MOIHHO are applied for determining the optimal size and location of DG at different operating power factors (p.f) with the aim of minimizing the total active power loss, reducing the voltage deviation (VD), and increasing the voltage stability index (VSI) considering the operational constraints of distribution system. In IHHO, the performance of the conventional HHO algorithm is improved using the rabbit location instead of the random location. In MOIHHO, grey relation analysis is applied for identifying the best compromise solution among the non-dominance Pareto solutions. To verify the effectiveness of the proposed algorithms, IEEE 33-bus and IEEE 69-bus radial distribution systems are used, and the obtained results are compared with those obtained by other optimization techniques. The results prove the efficiency of the proposed algorithms in terms of best solutions obtained so far for the single- and multi-objective scenarios. In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris hawks optimizer (HHO) is a anew inspired meta-heuristic optimization technique that is mainly based on the intelligence behavior of the Harris hawks in chasing prey. The IHHO and MOIHHO are applied for determining the optimal size and location of DG with the aim of minimizing the total active power loss, reducing the voltage deviation (VD), and increasing the voltage stability index (VSI) with considering operational constraints of distribution system. In IHHO, the performance of conventional HHO algorithm is improved using the rabbit location instead of the random location. In MOIHHO, a developed grey relation analysis is applied for identifying the best compromise solution among the non-dominance Pareto solutions. To verify the effectiveness of the proposed algorithms, IEEE 33-bus and IEEE 69-bus radial distribution systems are used, and the obtained results are compared with the other optimization techniques which utilized for the same problem. The results prove the efficiency of the proposed algorithms in terms of best solutions obtained so far for the single- and multi-objective scenarios.
Author	Kamel, Salah Jurado, Francisco Selim, Ali Alghamdi, Ali S.
Author_xml	– sequence: 1 givenname: Ali surname: Selim fullname: Selim, Ali organization: Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt and Department of Electrical Engineering, University of Jain, 23700 EPS Linares, Jaén, Spain – sequence: 2 givenname: Salah surname: Kamel fullname: Kamel, Salah organization: Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt and State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China – sequence: 3 givenname: Ali S. surname: Alghamdi fullname: Alghamdi, Ali S. organization: Department of Electrical Engineering, College of Engineering, Majmaah University, Almajmaah 11952, Saudi Arabia – sequence: 4 givenname: Francisco surname: Jurado fullname: Jurado, Francisco organization: Department of Electrical Engineering, University of Jain, 23700 EPS Linares, Jaén, Spain. (e-mail: fjurado@ujaen.es)
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SubjectTerms	Algorithms DG placement Distribution systems Harris hawks optimizer Heuristic methods Multiple objective analysis Optimization Optimization techniques Placement power loss reduction Power losses reduction Radial distribution Single and multi-objective optimization voltage deviation Voltage deviation and voltage stability index Voltage stability
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Title	Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches
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