4.7 Article

Economic optimization of microgrids based on peak shaving and CO2 reduction effect: A case study in Japan

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 321, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.128973

Keywords

Microgrid; Peak shaving; CO2 emission; PV penetration; Optimal configuration

Funding

  1. Science and Technology Commission of Shanghai Municipality [19DZ1205604]
  2. State Grid Shanghai Municipal Electric Power Company [52090020002X]

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This paper proposes a multi-criteria evaluation method for microgrids to maximize their comprehensive value, and a case study in Japan shows the superiority of multi-objective optimization. Balancing economic benefits, peak shaving, and carbon reduction, high requirements for carbon reduction can promote renewable energy development, while peak shaving ability should be ensured by stable power generators.
Microgrids are an attractive way to deal with energy depletion and environmental deterioration as well as grid pressure. However, the energy configurations of microgrids comprising various uncertain and variable resources are significantly sophisticated. Focusing on the peak shaving ability and carbon reduction effect of microgrids, this paper proposes a multi-criteria evaluation method that aims to maximize the comprehensive value of microgrids. To unify these criteria with different perspectives when solving the optimization problem, the peak shaving and emission reduction effects are converted into economies through peak load cost and carbon tax rather than using the weighting method. The results of a case study in Higashida, Japan obviously evidenced the superiority of multi-objective optimization. Although the improvement of the peak shaving ability and emission reduction effect was partially at the expense of system cost benefit, the total cost under multi-criteria was still reduced by 2.13%, which indicates that the balance and optimization of the economic benefit, peak shaving and carbon reduction were realized. The effect of each evaluation criterion on the optimal configuration was analyzed by comparing the optimization results under objective functions with different criteria combinations. High requirements for carbon reduction can promote the development of renewable energy, and peak shaving ability should be ensured by controllable and stable power generators.

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