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一种新型的微电网三层优化调度模型研究

张丽 贾晨豪 马泽原 张涛 张宏伟

电力系统保护与控制2025,Vol.53Issue(20):46-57,12.
电力系统保护与控制2025,Vol.53Issue(20):46-57,12.DOI:10.19783/j.cnki.pspc.241766

一种新型的微电网三层优化调度模型研究

A novel three-layer optimal dispatch model for microgrids

张丽 1贾晨豪 2马泽原 2张涛 3张宏伟4

作者信息

  • 1. 河南理工大学电气工程与自动化学院,河南 焦作 454003||河南省煤矿装备智能检测与控制重点实验室,河南 焦作 454003
  • 2. 河南理工大学电气工程与自动化学院,河南 焦作 454003
  • 3. 河南理工大学电气工程与自动化学院,河南 焦作 454003||河南省智能装备直驱技术与控制国际联合实验室,河南 焦作 454003
  • 4. 山西省电力公司临汾供电公司,山西 临汾 041000
  • 折叠

摘要

Abstract

To address the uncertainty of intermittent energy sources and improve the economic efficiency and operation performance of microgrids,a novel three-layer coupled microgrid dispatch model is proposed based on model predictive control.The model is optimized and solved using an improved dung beetle algorithm.First,by comprehensively considering time-sharing tariffs and pollution control costs,the model mitigates the impact of day-ahead uncertainties and performs online correction of the optimal control variables,thereby forming a new three-layer scheduling structure.Second,improvements are made to the traditional dung beetle algorithm in aspects such as population initialization,rolling behavior,and foraging behavior.The feasibility of the algorithm is verified by simulation,showing improved accuracy and convergence speed.Subsequently,the improved dung beetle algorithm is used to optimize the economic performance of the scheduling layer and determine the optimal control actions in rolling control.Finally,comparative analyses in terms of economic performance,rolling scheduling,and control effect demonstrate that the proposed model and algorithm can effectively enhance the environmental and economic performance of microgrids while improving system controllability and stability.

关键词

微电网/分层调度模型/优化经济调度/模型预测控制/改进蜣螂算法

Key words

microgrids/hierarchical dispatch model/optimizing economic dispatch/model predictive control/improved dung beetle optimization algorithm

引用本文复制引用

张丽,贾晨豪,马泽原,张涛,张宏伟..一种新型的微电网三层优化调度模型研究[J].电力系统保护与控制,2025,53(20):46-57,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52177039). 国家自然科学基金项目资助(52177039) (No.52177039)

河南省科技攻关项目资助(242102241027 ()

242102210185) ()

河南省高等学校重点科研项目资助(24A470006) (24A470006)

电力系统保护与控制

OA北大核心

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