A Microgrid Optimization Method That Comprehensively Considers Demand Response and New Energy Consumption

In view of the difficulties faced by the consumption of new energy and the problem of flexible dispatch of high proportion of renewable energy into the distribution network, this paper first considers the complementarity of multiple energy sources, and establishes a model for the subsystems including wind, solar, diesel and storage energy by combining wind energy, solar energy and local load in the microgrid. Secondly, in view of the uncertainty of the user-side operation of the microgrid system, the price demand response (DR) mechanism is introduced, and the strategies of interruptible load, transferable load, and translational load are used to respond to the peak regulation problem caused by the new energy access to the power grid. Then, the minimum cost and the maximum renewable energy utilization efficiency are taken as the objective functions and their constraints are determined. Finally, the Pied kingfisher optimizer(PKO) with chaotic motion and adaptive weight improvement is used to solve the multi-objective, and the final optimization results are obtained.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/sgee64306.2024.10865922
Primary Topic
Smart Grid Energy Management
Type
article
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article

A Microgrid Optimization Method That Comprehensively Considers Demand Response and New Energy Consumption

Bing Kang, Guili Ding, Huisung Yun, Zhihao Xu et al.
Smart Grid Energy Management
article

A Microgrid Optimization Method That Comprehensively Considers Demand Response and New Energy Consumption

Bing Kang, Guili Ding, Huisung Yun, Zhihao Xu, Dongxu Ke, Tong Sun
article en

Abstract

In view of the difficulties faced by the consumption of new energy and the problem of flexible dispatch of high proportion of renewable energy into the distribution network, this paper first considers the complementarity of multiple energy sources, and establishes a model for the subsystems including wind, solar, diesel and storage energy by combining wind energy, solar energy and local load in the microgrid. Secondly, in view of the uncertainty of the user-side operation of the microgrid system, the price demand response (DR) mechanism is introduced, and the strategies of interruptible load, transferable load, and translational load are used to respond to the peak regulation problem caused by the new energy access to the power grid. Then, the minimum cost and the maximum renewable energy utilization efficiency are taken as the objective functions and their constraints are determined. Finally, the Pied kingfisher optimizer(PKO) with chaotic motion and adaptive weight improvement is used to solve the multi-objective, and the final optimization results are obtained.

Jiangxi University of Water Resources and Electric Power (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Smart Grid Energy Management
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A Microgrid Optimization Method That Comprehensively Considers Demand Response and New Energy Consumption — Bing Kang, Guili Ding, et al. · (2024) | TGRS Research Map | TGRS