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Article

Multi-Objective Optimization of a Microgrid Considering the Uncertainty of Supply and Demand

1
School of Economics and Management, North China Electric Power University, Beijing 102206, China
2
Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Academic Editor: Tomonobu Senjyu
Sustainability 2021, 13(3), 1320; https://doi.org/10.3390/su13031320
Received: 23 December 2020 / Revised: 21 January 2021 / Accepted: 22 January 2021 / Published: 27 January 2021
Starting from the perspective of the uncertainty of supply and demand, using the Copula function and fuzzy numbers a scenario generation method, considering the uncertainty of scenery, and a random fuzzy model of energy demand uncertainty are proposed. Then, through the energy flow direction and the energy supply, production, conversion, storage, and demand, a multi-objective model considering the economic and environmental protection of a park is constructed. Here, the park refers to a microgrid that gathers distributed energy such as wind and photovoltaics and has requirements for cooling, heat, and electricity at the same time. Next, combining the constraints of each link, the particle swarm algorithm is used to solve the model. Finally, an example is analyzed in a certain park. The results of the example show that, on the one hand, the proposed scenario generation method and fuzzy number method can reduce the uncertainty of supply and demand, effectively fitting the wind and photovoltaic output and various energy demands. On the other hand, considering the economy and environmental protection of the park at the same time, the configuration of energy storage equipment can not only improve the economy of the park, but also promote the consumption of renewable energy. View Full-Text
Keywords: complementarity; supply and demand uncertainty; copula function; multi-objective optimization complementarity; supply and demand uncertainty; copula function; multi-objective optimization
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MDPI and ACS Style

Geng, S.; Wu, G.; Tan, C.; Niu, D.; Guo, X. Multi-Objective Optimization of a Microgrid Considering the Uncertainty of Supply and Demand. Sustainability 2021, 13, 1320. https://doi.org/10.3390/su13031320

AMA Style

Geng S, Wu G, Tan C, Niu D, Guo X. Multi-Objective Optimization of a Microgrid Considering the Uncertainty of Supply and Demand. Sustainability. 2021; 13(3):1320. https://doi.org/10.3390/su13031320

Chicago/Turabian Style

Geng, Shiping; Wu, Gengqi; Tan, Caixia; Niu, Dongxiao; Guo, Xiaopeng. 2021. "Multi-Objective Optimization of a Microgrid Considering the Uncertainty of Supply and Demand" Sustainability 13, no. 3: 1320. https://doi.org/10.3390/su13031320

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