Multi-objective optimal operation planning for battery energy storage in a grid-connected micro-grid

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2 Citations (Scopus)

Abstract

This paper investigates an evaluation of the expected business continuity for a grid-connected microgrid (GCMG) consisting of a photovoltaic (PV) system and a Battery Energy Storage System (BESS) during an interruption of the external power supply. For evaluation indices, duration of self-power supply for critical loads and success rate of uninterrupted self-power supply are adopted and investigated in relation to PV capacity and BESS initial charge. In addition, a novel method of multi-objective optimal operation planning for BESS in a GCMG is proposed in this paper. Operation cost and resilience, which exist in a trade-off relationship, are simultaneously considered within the micro-grid. Electricity purchasing cost from the grid is used as an index of operation cost, duration of power outage within the micro-grid while switched to an independent operation state is used as an index of resilience to formulate the multi-objective optimization problem to determine the BESS operation planning. For optimization method, Multi-Objective Particle Swarm Optimization (MOPSO) is adopted. To verify the effectiveness of the proposed method, the numerical simulation was conducted, and the results demonstrated that the Pareto solutions, obtained by the proposed method, proved useful to micro-grid operators to determine the BESS operation planning considering the best balance between operation cost and resilience, which meet their need.

Original languageEnglish
Pages (from-to)163-170
Number of pages8
JournalInternational Journal of Electrical and Electronic Engineering and Telecommunications
Volume9
Issue number3
DOIs
Publication statusPublished - 2020 May 1

Keywords

  • Battery energy storage
  • Micro-grid
  • Multi-objective particle swarm optimization (MOPSO)
  • Optimal operation planning
  • Resilience

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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