基于信息间隙决策理论的多重不确定性滚动优化调度

兰州理工大学学报 ›› 2025, Vol. 51 ›› Issue (1): 72-82.

• 自动化技术与计算机技术 • 上一篇下一篇

基于信息间隙决策理论的多重不确定性滚动优化调度

张明光^*, 高燕霞, 张飞祥, 王海滨

兰州理工大学电气工程与信息工程学院, 甘肃兰州 730050

收稿日期:2022-07-26 出版日期:2025-02-28 发布日期:2025-03-03
通讯作者: 张明光(1971-),男,甘肃民勤人,硕士,教授.Email:zhangmg@lut.edu.cn
基金资助:
国家自然科学基金(71963024)

Multi-uncertain rolling optimization scheduling based on information gap decision theory

ZHANG Ming-guang, GAO Yan-xia, ZHANG Fei-xiang, WANG Hai-bin

College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Received:2022-07-26 Online:2025-02-28 Published:2025-03-03

摘要/Abstract

摘要： 针对区域综合能源系统(RIES)运行中存在的不确定性问题,借助滚动优化调度方法,结合信息间隙决策理论(IGDT),将其转化为运行经济性,从而构建了RIES双层鲁棒优化调度模型.模型上层求解系统不确定度;下层通过模型收益基准值,将不确定性量化,确保模型运行收益不低于期望值,实现调度动态化.通过调整模型的水平因子,得到不同的调度方案,从而获得不同的调度收益期望值.决策者可根据对风险的规避程度,选择合适的调度方案.最后,对改进IEEE33节点配电网、19节点热网及20节点天然气网组成的RIES系统进行测试,结果表明在特定场景下,与确定性模型相比,鲁棒模型可将系统规避风险的程度提高5%.

关键词: 区域综合能源系统, 多源协调调度, 滚动优化, 信息间隙决策理论, 源-荷不确定性

Abstract: Focusing on the uncertainty problems existing in the operation of theregional integrated energy system (RIES), a bi-level robust optimal scheduling model of RIES is constructed by means of the rolling optimization scheduling method and information gap decision theory (IGDT) to translate it into operational economics. The upper layer of the model solves the uncertainty of the system, while the lower layer quantifies these uncertainties through the model revenue base value to ensure that the model operation income is not lower than the expectation, thereby realizing the dynamic scheduling. By adjusting the level factor of the model, different scheduling schemes can be obtained, so as to acquire different scheduling benefit expectations. Decision-makers can choose the appropriate scheduling scheme according to the degree of risk aversion. Finally, the RIES system composed of an improved IEEE33-node distribution network, 19-node heat network, and 20-node natural gas network is tested. The results show that the robust model can improve the system's risk-avoidance by 5% compared to the deterministic model in a given scenario.

Key words: regional integrated energy system, multi-source coordinated scheduling, rolling optimization, information gap decision theory, uncertainty of source-load

中图分类号:

TM73

张明光, 高燕霞, 张飞祥, 王海滨. 基于信息间隙决策理论的多重不确定性滚动优化调度[J]. 兰州理工大学学报, 2025, 51(1): 72-82.

ZHANG Ming-guang, GAO Yan-xia, ZHANG Fei-xiang, WANG Hai-bin. Multi-uncertain rolling optimization scheduling based on information gap decision theory[J]. Journal of Lanzhou University of Technology, 2025, 51(1): 72-82.

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基于信息间隙决策理论的多重不确定性滚动优化调度

Multi-uncertain rolling optimization scheduling based on information gap decision theory

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