Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation

Wong Ling Ai, Hussain Shareef, Ahmad Asrul Ibrahim, Azah Mohamed

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

5 Citations (Scopus)

Abstract

This paper presents the application of binary firefly algorithm (BFA) in obtaining the optimal location of battery energy storage systems (BESS) in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. The optimization process aims to obtain the optimal location by minimizing the voltage deviation of the PVDG bus. A BESS placement (BP) vector is used in deciding the location of BESS in each optimization and the optimization process is repeated in order to obtain the optimal BESS location. The effectiveness of the proposed method is validated by applying the algorithm to the 69-bus distribution system and the result shows that BFA is efficient in obtaining the optimal placement of BESS.

Original languageEnglish
Title of host publicationConference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-158
Number of pages4
ISBN (Print)9781479972975
DOIs
Publication statusPublished - 17 Mar 2014
Event2014 IEEE International Conference on Power and Energy, PECon 2014 - Kuching, Sarawak, Malaysia
Duration: 1 Dec 20143 Dec 2014

Other

Other2014 IEEE International Conference on Power and Energy, PECon 2014
CountryMalaysia
CityKuching, Sarawak
Period1/12/143/12/14

Fingerprint

Distributed power generation
Energy storage
Electric potential
Electric power distribution

Keywords

  • BFA
  • optimal BESS placement
  • PVDG

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Ai, W. L., Shareef, H., Ibrahim, A. A., & Mohamed, A. (2014). Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation. In Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014 (pp. 155-158). [7062432] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECON.2014.7062432

Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation. / Ai, Wong Ling; Shareef, Hussain; Ibrahim, Ahmad Asrul; Mohamed, Azah.

Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 155-158 7062432.

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

Ai, WL, Shareef, H, Ibrahim, AA & Mohamed, A 2014, Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation. in Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014., 7062432, Institute of Electrical and Electronics Engineers Inc., pp. 155-158, 2014 IEEE International Conference on Power and Energy, PECon 2014, Kuching, Sarawak, Malaysia, 1/12/14. https://doi.org/10.1109/PECON.2014.7062432
Ai WL, Shareef H, Ibrahim AA, Mohamed A. Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation. In Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 155-158. 7062432 https://doi.org/10.1109/PECON.2014.7062432
Ai, Wong Ling ; Shareef, Hussain ; Ibrahim, Ahmad Asrul ; Mohamed, Azah. / Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation. Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 155-158
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