Online Optimization Method for Operation of Generators in a Micro Grid

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  • Hayashi Yasuhiro
    Graduate school of Electrical and Electronics Engineering, University of Fukui
  • Miyamoto Hideki
    Graduate school of Electrical and Electronics Engineering, University of Fukui
  • Matsuki Junya
    Graduate school of Electrical and Electronics Engineering, University of Fukui
  • Iizuka Toshio
    Chigasaki Research Institute Technology Development Center, Electric Power Development Co., Ltd.
  • Azuma Hitoshi
    Electric Power Engineering Group, Electric Power Engineering Department JP Business Service Corporation

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Other Title
  • マイクログリッドにおけるオンライン電源運用最適化手法
  • マイクロ グリッド ニ オケル オンライン デンゲン ウンヨウ サイテキカ シュホウ

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Abstract

Recently a lot of studies and developments about distributed generator such as photovoltaic generation system, wind turbine generation system and fuel cell have been performed under the background of the global environment issues and deregulation of the electricity market, and the technique of these distributed generators have progressed. Especially, micro grid which consists of several distributed generators, loads and storage battery is expected as one of the new operation system of distributed generator. However, since precipitous load fluctuation occurs in micro grid for the reason of its smaller capacity compared with conventional power system, high-accuracy load forecasting and control scheme to balance of supply and demand are needed. Namely, it is necessary to improve the precision of operation in micro grid by observing load fluctuation and correcting start-stop schedule and output of generators online. But it is not easy to determine the operation schedule of each generator in short time, because the problem to determine start-up, shut-down and output of each generator in micro grid is a mixed integer programming problem. In this paper, the authors propose an online optimization method for the optimal operation schedule of generators in micro grid. The proposed method is based on enumeration method and particle swarm optimization (PSO). In the proposed method, after picking up all unit commitment patterns of each generators satisfied with minimum up time and minimum down time constraint by using enumeration method, optimal schedule and output of generators are determined under the other operational constraints by using PSO. Numerical simulation is carried out for a micro grid model with five generators and photovoltaic generation system in order to examine the validity of the proposed method.

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