Hierarchical Optimization of New Energy Microgrid Based on Interval Information Fuzzy Planning Model

Xiaohui YANG, Zezhong HUANG, Xiaopeng WANG, Zecheng HU, Peng YANG, Rui ZHONG

South Power Sys Technol ›› 2025, Vol. 19 ›› Issue (11) : 150-159.

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South Power Sys Technol ›› 2025, Vol. 19 ›› Issue (11) : 150-159. DOI: 10.13648/j.cnki.issn1674-0629.2025.11.014
Source Network Load Storage Collaboration

Hierarchical Optimization of New Energy Microgrid Based on Interval Information Fuzzy Planning Model

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Abstract

With the rapid growth of terminal energy micro-unit consumption, represented by residential buildings, the optimization of power dispatch in user-side new energy microgrid systems face challenges. A hierarchical optimization strategy for new energy microgrids, considering source-load uncertainty and electric vehicles, is proposed to ensure residential electricity demand and improve system operational efficiency. The upper-level model optimizes residential electricity loads and electric vehicle charging loads, with objectives focused on maximizing electric vehicle charging benefits and resident electricity satisfaction while accounting for demand response uncertainty. The lower-level model aims to enhance system operational efficiency and external impact, employing an interval information fuzzy planning model to construct and solve nonlinear multi-objective optimization problems based on upper-level data, thereby obtaining the optimal power output scheme for system equipment. Results demonstrate that the proposed dispatch strategy effectively improves resident electricity satisfaction while ensuring overall system performance, mitigating the impacts of uncertainty factors.

Key words

residential buildings / new energy microgrid / electric vehicle charging / interval multi-objective optimization / hierarchical optimization dispatch

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Xiaohui YANG , Zezhong HUANG , Xiaopeng WANG , et al . Hierarchical Optimization of New Energy Microgrid Based on Interval Information Fuzzy Planning Model[J]. Southern Power System Technology. 2025, 19(11): 150-159 https://doi.org/10.13648/j.cnki.issn1674-0629.2025.11.014

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Funding

the National Natural Science Foundation of China(72461020)
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