Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm

Optimal Power Flow (OPF) is one of the most significant tools used over a decade to till date in energy management system for reliable operation and planning of modern power system. The main objective is to adjust all the controlling parameters by satisfying equality and inequality constraints in or...

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Main Author:	Zohrul, Islam Mohammad
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Electric power systems - Control Mathematical optimization
Online Access:	http://psasir.upm.edu.my/id/eprint/93110/1/FK%202021%2067%20IR.pdf
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id	my-upm-ir.93110
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spelling	my-upm-ir.931102022-06-07T02:24:00Z Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm 2021-02 Zohrul, Islam Mohammad Optimal Power Flow (OPF) is one of the most significant tools used over a decade to till date in energy management system for reliable operation and planning of modern power system. The main objective is to adjust all the controlling parameters by satisfying equality and inequality constraints in order to optimize several objective functions. The recent deregulation of power industry, growing energy demand, limitations of extension of existing transmission and distribution line have intensified the acute implementation of optimization techniques. Moreover, the deploying available natural resources and ever-increasing concern of the environmental pollutant gases, such as CO2, emission during power generations and its serious impact on environment has gained more attention. This thesis has proposed recently developed Harris Hawks Optimization (HHO) and Salp Swarm Algorithm (SSA) to solve single- and multi-objective OPF problems considering fuel cost, power loss and environment emission. Additionally, the proposed methods solved multi-objective OPF problem with the help of no preference weighted sum method. Standard IEEE-30-bus and 57-bus test system data have been studied to justify the effectiveness of the proposed methods for single- and multi-objective OPF problems considering fuel cost, power loss and environment emissions. Additionally, no preference weighted sum method has been employed to solve multi-objective OPF problems simultaneously. The obtained results showed the decent improvement comparing to other swarm-based techniques like Whale Optimization Algorithm (WOA), Math Flame (MF), and Glowworm Optimization Algorithm (GOA) in terms of convergence performance and quality. As per the results, the proposed HHO technique outperforms to give the fuel cost of 801.829$/h improving by 0.01% indicating the best optimal solution for single-objective solution among the various methods presented. Likewise, power loss and environment emission improved predominantly by 0.37 % and 3.72% respectively. Multi-objective OPF results recorded at 0.02% to 0.55% for different cases. Lastly, three objectives were scrutinized together where the performance increased by 0.45% comparing to benchmark method. Electric power systems - Control Mathematical optimization 2021-02 Thesis http://psasir.upm.edu.my/id/eprint/93110/ http://psasir.upm.edu.my/id/eprint/93110/1/FK%202021%2067%20IR.pdf text en public masters Universiti Putra Malaysia Electric power systems - Control Mathematical optimization Abdul Wahab, Noor Izzri
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Abdul Wahab, Noor Izzri
topic	Electric power systems - Control Mathematical optimization
spellingShingle	Electric power systems - Control Mathematical optimization Zohrul, Islam Mohammad Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
description	Optimal Power Flow (OPF) is one of the most significant tools used over a decade to till date in energy management system for reliable operation and planning of modern power system. The main objective is to adjust all the controlling parameters by satisfying equality and inequality constraints in order to optimize several objective functions. The recent deregulation of power industry, growing energy demand, limitations of extension of existing transmission and distribution line have intensified the acute implementation of optimization techniques. Moreover, the deploying available natural resources and ever-increasing concern of the environmental pollutant gases, such as CO2, emission during power generations and its serious impact on environment has gained more attention. This thesis has proposed recently developed Harris Hawks Optimization (HHO) and Salp Swarm Algorithm (SSA) to solve single- and multi-objective OPF problems considering fuel cost, power loss and environment emission. Additionally, the proposed methods solved multi-objective OPF problem with the help of no preference weighted sum method. Standard IEEE-30-bus and 57-bus test system data have been studied to justify the effectiveness of the proposed methods for single- and multi-objective OPF problems considering fuel cost, power loss and environment emissions. Additionally, no preference weighted sum method has been employed to solve multi-objective OPF problems simultaneously. The obtained results showed the decent improvement comparing to other swarm-based techniques like Whale Optimization Algorithm (WOA), Math Flame (MF), and Glowworm Optimization Algorithm (GOA) in terms of convergence performance and quality. As per the results, the proposed HHO technique outperforms to give the fuel cost of 801.829$/h improving by 0.01% indicating the best optimal solution for single-objective solution among the various methods presented. Likewise, power loss and environment emission improved predominantly by 0.37 % and 3.72% respectively. Multi-objective OPF results recorded at 0.02% to 0.55% for different cases. Lastly, three objectives were scrutinized together where the performance increased by 0.45% comparing to benchmark method.
format	Thesis
qualification_level	Master's degree
author	Zohrul, Islam Mohammad
author_facet	Zohrul, Islam Mohammad
author_sort	Zohrul, Islam Mohammad
title	Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
title_short	Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
title_full	Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
title_fullStr	Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
title_full_unstemmed	Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm
title_sort	optimal power flow of power systems using harris hawks optimization and salp swarm algorithm
granting_institution	Universiti Putra Malaysia
publishDate	2021
url	http://psasir.upm.edu.my/id/eprint/93110/1/FK%202021%2067%20IR.pdf
_version_	1747813791168462848

Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm

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