Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new multi-objective technique to solve the problem of optimal location and sizing of Distributed Generation Photovoltaic (DGPV) in the power system transmission network. The technique: Multi-objective Chaotic Mutation Immune Evolutionary Programming (MOCMIEP) was developed based on Pareto optimality to solve the DGPV location and sizing problem. The proposed technique determines the optimal location and sizing of DGPV, therefore will minimize the multiple objective functions, namely the active power losses and Fast Voltage Stability Index (FVSI) simultaneously. The method was tested on IEEE 118-Bus Reliability Test System (RTS). The results revealed that the proposed technique had the ability to acquire a set of Pareto solutions for the decision maker to choose depending on the system priorities.

Original languageEnglish
Title of host publicationAustralasian Universities Power Engineering Conference, AUPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538684740
DOIs
Publication statusPublished - 01 Nov 2018
Event2018 Australasian Universities Power Engineering Conference, AUPEC 2018 - Auckland, New Zealand
Duration: 27 Nov 201830 Nov 2018

Publication series

NameAustralasian Universities Power Engineering Conference, AUPEC 2018

Conference

Conference2018 Australasian Universities Power Engineering Conference, AUPEC 2018
CountryNew Zealand
CityAuckland
Period27/11/1830/11/18

Fingerprint

Distributed power generation
Electric power transmission networks
Evolutionary algorithms
Voltage control

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Syed Mustaffa, S. A., Musirin, I., Othman, M. M., & Mansor, M. H. (2018). Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm. In Australasian Universities Power Engineering Conference, AUPEC 2018 [8758003] (Australasian Universities Power Engineering Conference, AUPEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AUPEC.2018.8758003
Syed Mustaffa, Sharifah Azma ; Musirin, I. ; Othman, M. M. ; Mansor, Mohd Helmi. / Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm. Australasian Universities Power Engineering Conference, AUPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Australasian Universities Power Engineering Conference, AUPEC 2018).
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Syed Mustaffa, SA, Musirin, I, Othman, MM & Mansor, MH 2018, Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm. in Australasian Universities Power Engineering Conference, AUPEC 2018., 8758003, Australasian Universities Power Engineering Conference, AUPEC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 Australasian Universities Power Engineering Conference, AUPEC 2018, Auckland, New Zealand, 27/11/18. https://doi.org/10.1109/AUPEC.2018.8758003

Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm. / Syed Mustaffa, Sharifah Azma; Musirin, I.; Othman, M. M.; Mansor, Mohd Helmi.

Australasian Universities Power Engineering Conference, AUPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8758003 (Australasian Universities Power Engineering Conference, AUPEC 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Syed Mustaffa SA, Musirin I, Othman MM, Mansor MH. Location and sizing of distributed generation photovoltaic (DGPV) via multi-objective pareto algorithm. In Australasian Universities Power Engineering Conference, AUPEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8758003. (Australasian Universities Power Engineering Conference, AUPEC 2018). https://doi.org/10.1109/AUPEC.2018.8758003