A determination method for the optimal operation of controllable generators in micro grids that copes with unstable outputs of renewable energy generation

Hirotaka Takano, Peng Zhang, Junichi Murata, Takuhei Hashiguchi, Tadahiro Goda, Tatsuya Iizaka, Yosuke Nakanishi

Research output: Contribution to journalArticle

4 Citations (Scopus)


Micro grids are expected to be one of the most realistic energy systems for efficient use of renewable energy sources with few adverse effects on the main electric power grids. However, it is difficult to maintain the supply-and-demand balance because distributed renewable energy generation units (DREGs), such as photovoltaic generation systems and wind turbine generation systems, generate a significant portion o electrical energy in the micro grids. Therefore, an operation planning method is needed considering the uncertainty in weather prediction in order to ensure stable micro grid operations. This paper presents an optimization method for operation plans of controllable generators in micro grids that copes with the uncertainty of DREG outputs. In the proposed method, the optimal operation plans are determined by, depending on the problem conditions, either an enumeration method or Tabu Search with preprocessing. Numerical simulations were carried out for a micro grid model in order to verify the usefulness of the proposed method. In the simulations, the daily operation plan and the modified half-hourly one were determined by the proposed method. As a result, we could obtain the optimal plans which had enough reserve margins for coping with the fluctuations caused by DREGs and demand.

Original languageEnglish
Pages (from-to)56-65
Number of pages10
JournalElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
Issue number4
Publication statusPublished - 2015 Mar 1
Externally publishedYes



  • Distributed generation (DG)
  • Economic load dispatching (ELD)
  • Micro grids
  • Renewable energy
  • Unit commitment (UC)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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