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Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition

Genetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduct...

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Main Authors: Naderipour A., Abdul-Malek Z., Nowdeh S.A., Ramachandaramurthy V.K., Kalam A., Guerrero J.M.
Other Authors: 36677578000
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-255322023-05-29T16:10:32Z Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition Naderipour A. Abdul-Malek Z. Nowdeh S.A. Ramachandaramurthy V.K. Kalam A. Guerrero J.M. 36677578000 57195728805 54941092000 6602912020 55543249600 35588010400 Genetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduction; standard (reference) This paper presents a method that uses particle swarm optimization to select the optimal allocation of a combined heat and power system that considers the maximum allowable capacity with the aim of reducing losses, improving the voltage profile and reliability of microgrids considering networks loading condition. Decision variables are optimal location and capacity of the combined heat and power systems. The location and maximum capacity of the combined heat and power system were specified in a way to reduce losses, improve the voltage profile, reliability improvement as energy not supplied reduction and maintain the operating constraints. The method is applied to 84- and 32-bus standard microgrids. Capability of the proposed method is proved in obtained results which demonstrated a significant enhancement in voltage profile and a decrease in power losses and customer's energy not supplied as reliability improvement. Minimum microgrid losses can be achieved with considering these constraints. The power loss, minimum voltage and reliability is improved 43.9%, 3,4% and 80.31% for 84 bus network and 72%, 6.2% and 83.6% for 32 us network, respectively by optimal combined heat and power systems allocation. Also, the superiority of the particle swarm optimization is confirmed in comparison with the genetic algorithm. � 2020 Elsevier Ltd Final 2023-05-29T08:10:32Z 2023-05-29T08:10:32Z 2020 Article 10.1016/j.energy.2020.117124 2-s2.0-85079593988 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079593988&doi=10.1016%2fj.energy.2020.117124&partnerID=40&md5=dd0e0d8e16454f90aad35146c6f5c080 https://irepository.uniten.edu.my/handle/123456789/25532 196 117124 All Open Access, Green Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Genetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduction; standard (reference)
author2 36677578000
author_facet 36677578000
Naderipour A.
Abdul-Malek Z.
Nowdeh S.A.
Ramachandaramurthy V.K.
Kalam A.
Guerrero J.M.
format Article
author Naderipour A.
Abdul-Malek Z.
Nowdeh S.A.
Ramachandaramurthy V.K.
Kalam A.
Guerrero J.M.
spellingShingle Naderipour A.
Abdul-Malek Z.
Nowdeh S.A.
Ramachandaramurthy V.K.
Kalam A.
Guerrero J.M.
Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
author_sort Naderipour A.
title Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
title_short Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
title_full Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
title_fullStr Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
title_full_unstemmed Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
title_sort optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425517352550400
score 13.222552

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