Multi-objective optimization model of micro-grid operation considering cost, pollution discharge and risk

Cunbin Li*, Jianye Zhang, Peng Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

This paper started with operating costs, pollutant emissions and operational risk that by the uncertainty of DG output, and built a multi-objective optimization model of micro-grid operation management in smart grid considering all aspects of the micro-grid system constraints. Then niche multi-objective particle swarm optimization algorithm was used to solve the model with the aim to improve the operation management of micro power. The simulation results show that the proposed multi-objective optimization model of micro-grid operational management can implement the comprehensive consideration of cost, pollution emission and operational risk, especially the influence by DG output fluctuation. The study can effectively promote the micro-grid operation management level and ensure the security of the power supply.

Original languageEnglish
Pages (from-to)1051-1058
Number of pages8
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume35
Issue number5
DOIs
Publication statusPublished - 5 Mar 2015
Externally publishedYes

Keywords

  • Micro-grid
  • Multi- objective optimization model
  • Niche multi-objective particle swarm optimization algorithm
  • Operation management

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