An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources

Muhamad Zalani Daud, Azah Mohamed, M. A. Hannan

Research output: Contribution to journalArticle

76 Citations (Scopus)

Abstract

The effects of intermittent cloud and changes in temperature cause a randomly fluctuated output of a photovoltaic (PV) system. To mitigate the PV system impacts particularly on a weak electricity network, battery energy storage (BES) system is an effective means to smooth out the power fluctuations. Consequently, the net power injected to the electricity grid by PV and BES (PV/BES) systems can be dispatched smoothly such as on an hourly basis. This paper presents an improved control strategy for a grid-connected hybrid PV/BES systems for mitigating PV farm output power fluctuations. A feedback controller for BES state of charge is proposed, where the control parameters are optimized using genetic algorithm (GA). GA-based multi objective optimization utilizes the daily average PV farm output power profile which was obtained from simulation using the historical PV system input data of Malaysia. In this way, the optimal size for the BES is also determined to hourly dispatch a 1.2 MW PV farm. A case study for Malaysia is carried out to evaluate the effectiveness of the proposed control scheme using PSCAD/EMTDC software package. Furthermore, the validation of results of the proposed controller and BES size on the actual PV system output data are also given. Finally, a simple payback calculation is presented to study the economical aspects of the BES investment on the proposed mitigation strategy under Malaysian Feed-in Tariff program. © 2013 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)256-270
Number of pages228
JournalEnergy Conversion and Management
DOIs
Publication statusPublished - 31 May 2013
Externally publishedYes

Fingerprint

Energy storage
photovoltaic system
Farms
farm
genetic algorithm
electricity
Electricity
Genetic algorithms
Controllers
Multiobjective optimization
energy storage
method
battery
Software packages
mitigation
Feedback
software
simulation
temperature

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

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abstract = "The effects of intermittent cloud and changes in temperature cause a randomly fluctuated output of a photovoltaic (PV) system. To mitigate the PV system impacts particularly on a weak electricity network, battery energy storage (BES) system is an effective means to smooth out the power fluctuations. Consequently, the net power injected to the electricity grid by PV and BES (PV/BES) systems can be dispatched smoothly such as on an hourly basis. This paper presents an improved control strategy for a grid-connected hybrid PV/BES systems for mitigating PV farm output power fluctuations. A feedback controller for BES state of charge is proposed, where the control parameters are optimized using genetic algorithm (GA). GA-based multi objective optimization utilizes the daily average PV farm output power profile which was obtained from simulation using the historical PV system input data of Malaysia. In this way, the optimal size for the BES is also determined to hourly dispatch a 1.2 MW PV farm. A case study for Malaysia is carried out to evaluate the effectiveness of the proposed control scheme using PSCAD/EMTDC software package. Furthermore, the validation of results of the proposed controller and BES size on the actual PV system output data are also given. Finally, a simple payback calculation is presented to study the economical aspects of the BES investment on the proposed mitigation strategy under Malaysian Feed-in Tariff program. {\circledC} 2013 Elsevier Ltd. All rights reserved.",
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An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources. / Daud, Muhamad Zalani; Mohamed, Azah; Hannan, M. A.

In: Energy Conversion and Management, 31.05.2013, p. 256-270.

Research output: Contribution to journalArticle

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