OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM

Purpose. Energy consumption is a standard measure to evaluate the progress and quality of life in a country. When used properly and logically it could be cause of progress in science, technology and welfare of the people in any country and otherwise irreparable economic losses and economic gross rec...

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Autores principales:	Zeinab Montazeri, Taher Niknam
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2018
Materias:	gravitational search algorithm energy electrical energy economic distribution final energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/ad5487ce0670439e822cabf18107d44e
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spelling	oai:doaj.org-article:ad5487ce0670439e822cabf18107d44e2021-12-02T18:08:39ZOPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM10.20998/2074-272X.2018.4.122074-272X2309-3404https://doaj.org/article/ad5487ce0670439e822cabf18107d44e2018-08-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2018.4.12/137857https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Purpose. Energy consumption is a standard measure to evaluate the progress and quality of life in a country. When used properly and logically it could be cause of progress in science, technology and welfare of the people in any country and otherwise irreparable economic losses and economic gross recession would happen. And finally, the quantity of energy consumption per GDP will increase day by day. Electrical energy, as the most prominent type of energy, is very important. In this article based on a different approach, according to the final consumption of electric energy, a proper economic planning in order to supply electrical energy is submitted. In this programming, the details of final energy consumption, will replace with the information of power network, by considering the network efficiency and power plants. Operation of power plants is based on the energy optimization entranced to a plant. By using the proposed method and gravitational search algorithm, the total cost of electrical energy can be minimized. The results of simulation and numerical studies show better convergence of gravitational search algorithm in comparison with other existing methods in this area.Zeinab MontazeriTaher NiknamNational Technical University "Kharkiv Polytechnic Institute"articlegravitational search algorithmenergyelectrical energyeconomic distributionfinal energy consumptionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 4, Pp 70-73 (2018)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	gravitational search algorithm energy electrical energy economic distribution final energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	gravitational search algorithm energy electrical energy economic distribution final energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971 Zeinab Montazeri Taher Niknam OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
description	Purpose. Energy consumption is a standard measure to evaluate the progress and quality of life in a country. When used properly and logically it could be cause of progress in science, technology and welfare of the people in any country and otherwise irreparable economic losses and economic gross recession would happen. And finally, the quantity of energy consumption per GDP will increase day by day. Electrical energy, as the most prominent type of energy, is very important. In this article based on a different approach, according to the final consumption of electric energy, a proper economic planning in order to supply electrical energy is submitted. In this programming, the details of final energy consumption, will replace with the information of power network, by considering the network efficiency and power plants. Operation of power plants is based on the energy optimization entranced to a plant. By using the proposed method and gravitational search algorithm, the total cost of electrical energy can be minimized. The results of simulation and numerical studies show better convergence of gravitational search algorithm in comparison with other existing methods in this area.
format	article
author	Zeinab Montazeri Taher Niknam
author_facet	Zeinab Montazeri Taher Niknam
author_sort	Zeinab Montazeri
title	OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
title_short	OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
title_full	OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
title_fullStr	OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
title_full_unstemmed	OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM
title_sort	optimal utilization of electrical energy from power plants based on final energy consumption using gravitational search algorithm
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2018
url	https://doaj.org/article/ad5487ce0670439e822cabf18107d44e
work_keys_str_mv	AT zeinabmontazeri optimalutilizationofelectricalenergyfrompowerplantsbasedonfinalenergyconsumptionusinggravitationalsearchalgorithm AT taherniknam optimalutilizationofelectricalenergyfrompowerplantsbasedonfinalenergyconsumptionusinggravitationalsearchalgorithm
_version_	1718378650554859520

OPTIMAL UTILIZATION OF ELECTRICAL ENERGY FROM POWER PLANTS BASED ON FINAL ENERGY CONSUMPTION USING GRAVITATIONAL SEARCH ALGORITHM

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