Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system

Muhamad Zalani Daud, Azah Mohamed

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

2 Citations (Scopus)

Abstract

This paper presents an improved state-of-charge feedback (SOC-FB) control scheme for battery energy storage (BES) for used in hourly dispatch the output of hybrid photovoltaic (PV) with battery energy storage (BES) system. Heuristic optimisation approaches employing the genetic algorithm, gravitational search algorithm and particle swarm optimisation are used in obtaining the optimal control parameters for the SOC-FB controller in tracking the hourly dispatched set-point (PSET) curve of the PV/BES system. The studied multi-parameter optimization problem also considers the evaluation of the optimal size of the BES. The performance of the heuristic optimization techniques are validated by comparing the results obtained from Matlab simulation with the results from previous works. In addition, the optimal controller with the proposed BES size is further validated through simulation using an actual PV system output data.

Original languageEnglish
Title of host publication2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014
PublisherIEEE Computer Society
Pages114-119
Number of pages6
ISBN (Print)9781479913008
DOIs
Publication statusPublished - 2014
Event2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014 - Kuala Lumpur
Duration: 20 May 201423 May 2014

Other

Other2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014
CityKuala Lumpur
Period20/5/1423/5/14

Fingerprint

Energy storage
Feedback
Controllers
Particle swarm optimization (PSO)
Feedback control
Genetic algorithms
Controller
Heuristics
Charge
Simulation

Keywords

  • Battery energy storage
  • Optimal control
  • Photovoltaic power dispatch
  • State-of-charge

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

Daud, M. Z., & Mohamed, A. (2014). Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system. In 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014 (pp. 114-119). [6873774] IEEE Computer Society. https://doi.org/10.1109/ISGT-Asia.2014.6873774

Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system. / Daud, Muhamad Zalani; Mohamed, Azah.

2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society, 2014. p. 114-119 6873774.

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

Daud, MZ & Mohamed, A 2014, Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system. in 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014., 6873774, IEEE Computer Society, pp. 114-119, 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014, Kuala Lumpur, 20/5/14. https://doi.org/10.1109/ISGT-Asia.2014.6873774
Daud MZ, Mohamed A. Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system. In 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society. 2014. p. 114-119. 6873774 https://doi.org/10.1109/ISGT-Asia.2014.6873774
Daud, Muhamad Zalani ; Mohamed, Azah. / Heuristic optimisation of state-of-charge feedback controller for hourly dispatch of hybrid PV/BES system. 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society, 2014. pp. 114-119
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