Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems

In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap c...

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Autores principales:	Noor Habib Khan, Yong Wang, De Tian, Muhammad Asif Zahoor Raja, Raheela Jamal, Yasir Muhammad
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Optimal power flow (OPF) optimal reactive power dispatch (ORPD) particle swarm optimization (PSO) gravitational search algorithm (GSA) fractional calculus (FC) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/1f1e11b8061646559935ad697b3e46b0
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id	oai:doaj.org-article:1f1e11b8061646559935ad697b3e46b0
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spelling	oai:doaj.org-article:1f1e11b8061646559935ad697b3e46b02021-11-19T00:05:58ZDesign of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems2169-353610.1109/ACCESS.2020.3014211https://doaj.org/article/1f1e11b8061646559935ad697b3e46b02020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9157894/https://doaj.org/toc/2169-3536In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses (<inline-formula> <tex-math notation="LaTeX">$P_{loss,}$ </tex-math></inline-formula>MW) and voltage deviation (<inline-formula> <tex-math notation="LaTeX">$\text{V}_{\mathrm {D}}$ </tex-math></inline-formula>). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.Noor Habib KhanYong WangDe TianMuhammad Asif Zahoor RajaRaheela JamalYasir MuhammadIEEEarticleOptimal power flow (OPF)optimal reactive power dispatch (ORPD)particle swarm optimization (PSO)gravitational search algorithm (GSA)fractional calculus (FC)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 146785-146806 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Optimal power flow (OPF) optimal reactive power dispatch (ORPD) particle swarm optimization (PSO) gravitational search algorithm (GSA) fractional calculus (FC) Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Optimal power flow (OPF) optimal reactive power dispatch (ORPD) particle swarm optimization (PSO) gravitational search algorithm (GSA) fractional calculus (FC) Electrical engineering. Electronics. Nuclear engineering TK1-9971 Noor Habib Khan Yong Wang De Tian Muhammad Asif Zahoor Raja Raheela Jamal Yasir Muhammad Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
description	In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses (<inline-formula> <tex-math notation="LaTeX">$P_{loss,}$ </tex-math></inline-formula>MW) and voltage deviation (<inline-formula> <tex-math notation="LaTeX">$\text{V}_{\mathrm {D}}$ </tex-math></inline-formula>). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.
format	article
author	Noor Habib Khan Yong Wang De Tian Muhammad Asif Zahoor Raja Raheela Jamal Yasir Muhammad
author_facet	Noor Habib Khan Yong Wang De Tian Muhammad Asif Zahoor Raja Raheela Jamal Yasir Muhammad
author_sort	Noor Habib Khan
title	Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
title_short	Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
title_full	Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
title_fullStr	Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
title_full_unstemmed	Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems
title_sort	design of fractional particle swarm optimization gravitational search algorithm for optimal reactive power dispatch problems
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/1f1e11b8061646559935ad697b3e46b0
work_keys_str_mv	AT noorhabibkhan designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems AT yongwang designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems AT detian designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems AT muhammadasifzahoorraja designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems AT raheelajamal designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems AT yasirmuhammad designoffractionalparticleswarmoptimizationgravitationalsearchalgorithmforoptimalreactivepowerdispatchproblems
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Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems

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