Advanced MOEPSO for Multi-objective Economic Load Dispatching in Consideration of CO<sub>2</sub> Emission

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  • Okawa Kenta
    Dept. of Electronics and Bioinformatics, Meiji University
  • Mori Hiroyuki
    Dept. of Electronics and Bioinformatics, Meiji University

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Other Title
  • Advanced MOEPSOによるCO<sub>2</sub>排出を考慮した多目的経済負荷配分
  • Advanced MOEPSOによるCO2排出を考慮した多目的経済負荷配分
  • Advanced MOEPSO ニ ヨル CO2 ハイシュツ オ コウリョ シタ タモクテキ ケイザイ フカ ハイブン

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Abstract

This paper proposes a new multi-objective meta-heuristic (MOMH) method for solving economic load dispatching (ELD) in considering of carbon dioxide (CO2 emission. The objective of ELD is to minimize the fuel cost of generators while satisfying the power balance constraint and so on. In recent years, however, the greenhouse warming becomes serious. Therefore, this paper reformulates ELD to a multi-objective problem that minimizes the fuel cost and the CO2 emission. This is because it is challenging to obtain many Pareto solutions effectively. Therefore, this paper makes use of MOPSO-based MOMH because of the effectiveness of multi-point search. MOPSO is effective for optimizing the continuous variables like the output of generators. In addition, MOPSO is developed to improve accuracy, diversification and the computational efficiency like on-line operation by EPSO and the density information of SPEA2 schemes. The effectiveness of the proposed method is tested in sample systems.

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