Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm

This paper presents a study of the 380-kV network of Saudi Electricity Company in the Western Operation Area (SEC-WOA). Where, the effect of using series, shunt, and mixed capacitors for reactive power compensation on the network is investigated. Three different load levels namely light, medium, and...

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Main Authors: Youssef Mobarak, Mohamed E. Dessuki
Format: Article
Language:English
Published: ESRGroups 2019-03-01
Series:Journal of Electrical Systems
Subjects:
Online Access:http://journal.esrgroups.org/jes/papers/15_1_3.pdf
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spelling doaj-ed9386eecc4a4377adcb38a492b31e002020-11-25T02:59:23ZengESRGroupsJournal of Electrical Systems1112-52091112-52092019-03-011513041Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithmYoussef Mobarak0Mohamed E. Dessuki1Electrical Engineering Department, Faculty of Engineering, King Abdulaziz University, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, King Abdulaziz University, Saudi ArabiaThis paper presents a study of the 380-kV network of Saudi Electricity Company in the Western Operation Area (SEC-WOA). Where, the effect of using series, shunt, and mixed capacitors for reactive power compensation on the network is investigated. Three different load levels namely light, medium, and peak have been considered in the investigation. Power world simulator (PWS) is used to perform the network load flow analysis, the obtained results were identical to the real load flow in the company documents. PWS based Dynamic Programming is used to determine the size and optimal location of the capacitor used in each scheme used for reactive power compensation for the network and compared to the optimum solutions obtained by both the Genetic Algorithm (GA) and the Hybrid Genetic Algorithm (HGA). The comparison reveals better solutions of the proposed method compared with GA and HGAhttp://journal.esrgroups.org/jes/papers/15_1_3.pdfload flowreactive powergenetic algorithmcapacitorcompensation.
collection DOAJ
language English
format Article
sources DOAJ
author Youssef Mobarak
Mohamed E. Dessuki
spellingShingle Youssef Mobarak
Mohamed E. Dessuki
Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
Journal of Electrical Systems
load flow
reactive power
genetic algorithm
capacitor
compensation.
author_facet Youssef Mobarak
Mohamed E. Dessuki
author_sort Youssef Mobarak
title Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
title_short Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
title_full Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
title_fullStr Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
title_full_unstemmed Reactive power compensation of Saudi electricity-western operation area using dynamic programming and genetic algorithm
title_sort reactive power compensation of saudi electricity-western operation area using dynamic programming and genetic algorithm
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
1112-5209
publishDate 2019-03-01
description This paper presents a study of the 380-kV network of Saudi Electricity Company in the Western Operation Area (SEC-WOA). Where, the effect of using series, shunt, and mixed capacitors for reactive power compensation on the network is investigated. Three different load levels namely light, medium, and peak have been considered in the investigation. Power world simulator (PWS) is used to perform the network load flow analysis, the obtained results were identical to the real load flow in the company documents. PWS based Dynamic Programming is used to determine the size and optimal location of the capacitor used in each scheme used for reactive power compensation for the network and compared to the optimum solutions obtained by both the Genetic Algorithm (GA) and the Hybrid Genetic Algorithm (HGA). The comparison reveals better solutions of the proposed method compared with GA and HGA
topic load flow
reactive power
genetic algorithm
capacitor
compensation.
url http://journal.esrgroups.org/jes/papers/15_1_3.pdf
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AT mohamededessuki reactivepowercompensationofsaudielectricitywesternoperationareausingdynamicprogrammingandgeneticalgorithm
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