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Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage

Electric power factor; Electric power transmission networks; Evolutionary algorithms; Optimization; Differential Evolution; Differential evolution algorithms; Distributed generation source; Multiple distributed generations; Optimal allocation; Optimisations; Power factorAbstract; Power system constr...

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Main Authors: Huy P.D., Ramachandaramurthy V.K., Yong J.Y., Tan K.M., Ekanayake J.B.
Other Authors: 57192416703
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-255402023-05-29T16:10:39Z Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage Huy P.D. Ramachandaramurthy V.K. Yong J.Y. Tan K.M. Ekanayake J.B. 57192416703 6602912020 56119339200 56119108600 7003409510 Electric power factor; Electric power transmission networks; Evolutionary algorithms; Optimization; Differential Evolution; Differential evolution algorithms; Distributed generation source; Multiple distributed generations; Optimal allocation; Optimisations; Power factorAbstract; Power system constraints; Distributed power generation; algorithm; distribution system; energy planning; operations technology; optimization In this paper, an optimised framework utilising a Differential Evolution algorithm is presented to optimally integrate multiple distributed generation sources simultaneously into the distribution grid. By considering the important power system constraints, the proposed algorithm optimises the location, sizing and power factor setting for each distributed generation source to minimise network losses and maximise distributed generation integration. Various case studies were conducted at constant or varying levels of load and generation in both the planning stage and the real-time operation stage. The results of all case studies revealed that the proposed Differential Evolution-based algorithm delivered better performance in terms of network loss reduction and maximised distributed generation compared to other existing methods. The network loss reduction of 95.71% was achieved when all three parameters of placement, sizing and power factor of distributed generation were optimised simultaneously. In addition, a practical framework with a varying optimal power factor for distributed generation was designed. The optimal power factor setting for each distributed generation source was dynamically adjusted during real-time power grid operation, resulting in further minimisation of the system loss reduction. The overall loss reduction achieved was 96.04% relative to the base case of no distributed generation connection. � 2020 Elsevier Ltd Final 2023-05-29T08:10:39Z 2023-05-29T08:10:39Z 2020 Article 10.1016/j.energy.2020.117011 2-s2.0-85078273267 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078273267&doi=10.1016%2fj.energy.2020.117011&partnerID=40&md5=aeb234fe0bed033b898b3175f0e568ea https://irepository.uniten.edu.my/handle/123456789/25540 195 117011 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 Electric power factor; Electric power transmission networks; Evolutionary algorithms; Optimization; Differential Evolution; Differential evolution algorithms; Distributed generation source; Multiple distributed generations; Optimal allocation; Optimisations; Power factorAbstract; Power system constraints; Distributed power generation; algorithm; distribution system; energy planning; operations technology; optimization
author2 57192416703
author_facet 57192416703
Huy P.D.
Ramachandaramurthy V.K.
Yong J.Y.
Tan K.M.
Ekanayake J.B.
format Article
author Huy P.D.
Ramachandaramurthy V.K.
Yong J.Y.
Tan K.M.
Ekanayake J.B.
spellingShingle Huy P.D.
Ramachandaramurthy V.K.
Yong J.Y.
Tan K.M.
Ekanayake J.B.
Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
author_sort Huy P.D.
title Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
title_short Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
title_full Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
title_fullStr Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
title_full_unstemmed Optimal placement, sizing and power factor of distributed generation: A comprehensive study spanning from the planning stage to the operation stage
title_sort optimal placement, sizing and power factor of distributed generation: a comprehensive study spanning from the planning stage to the operation stage
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425701500321792
score 13.222552

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