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Real-time Optimal Operation Planning of Isolated Microgrid Considering SOC balance of ESS

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(10), pp.57-63
  • DOI : 10.9708/jksci.2018.23.10.057
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 27, 2018
  • Accepted : October 11, 2018
  • Published : October 31, 2018

Yoon Cheol Lee 1 Ji Yeon Shim 2 Jeongmin Kim 1 RYU, KWANG RYEL 1

1부산대학교
2(주)유일네트워크

Accredited

ABSTRACT

The operating system for an isolated microgrid, which is completely disconnected from the central power system, aims at preventing blackouts and minimizing power generation costs of diesel generators through efficient operation of the energy storage system (ESS) that stores energy produced by renewable energy generators and diesel generators. In this paper, we predict the amount of renewable energy generation using the weather forecast and build an optimal diesel power generation plan using a genetic algorithm. In order to avoid inefficiency due to inaccurate prediction of renewable energy generation, our search algorithm imposes penalty on candidate diesel power generation plans that fail to maintain the SOC (state of charge) of ESS at an appropriate level. Simulation experiments show that our optimization method for maintaining an appropriate SOC balance can prevent the blackout better when compared with the previous method.

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