基于模型预测控制的区域综合能源系统运行优化方法

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摘要本文以上海世博园区B片区综合能源系统为研究对象,分析其现有运行策略在夏季和冬季典型工况下的运行效果。首先,针对现有运行策略的不足,结合模型预测控制（MPC）滚动优化方法构建区域综合能源系统运行优化的数学模型;其次,考虑冷、热、电负荷及可再生能源的实时特性,在滚动优化过程中引入动态调整模型,用于对调度策略的实时调节;最后,将优化模型应用于该区域综合能源中心,对现有机组的运行策略进行优化。通过运行优化,该园区B片区夏冬两季累积收益分别提高了27.4%和15.6%。

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	杨海涛
	江晶晶
	赵敏
	赵锋
	窦真兰

关键词 ：分布式能源, 综合能源系统, 运行优化, 模型预测控制（MPC）

Abstract：This paper takes the integrated energy system in Area B of the Shanghai World Expo Park as the research object, and analyzes the operating effects of its existing operating strategies in typical operating conditions in summer and winter. Firstly, to deal with the shortcomings of existing operating strategies, a mathematical model of regional integrated energy system operation optimization has constructed, combined with the model predictive control (MPC) rolling optimization method. Secondly, the real-time characteristics of cold, heat, electric load and renewable energy are considered, and a dynamic adjustment model is introduced for real-time adjustment of the dispatch measurement rate. Finally, the optimization model is applied to the regional integrated energy center to optimize the existing operation strategy. Through operational optimization, the cumulative income in winter and summer increases by 27.4% and 15.6% respectively.

Key words： distributed energy integrated energy system operation optimization model predictive control (MPC)

收稿日期: 2021-09-30

基金资助:国家电网公司总部科技项目（5400-202017201A-0-0-00）

作者简介: 杨海涛（1976—）,男,上海市人,博士,主要从事新能源消纳、综合能源系统优化控制及电力市场营销等方面的研究工作。

引用本文:

杨海涛, 江晶晶, 赵敏, 赵锋, 窦真兰. 基于模型预测控制的区域综合能源系统运行优化方法[J]. 电气技术, 2022, 23(4): 7-13. YANG Haitao, JIANG Jingjing, ZHAO Min, ZHAO Feng, DOU Zhenlan. Operational optimization method of regional integrated energy system based on model predictive control. Electrical Engineering, 2022, 23(4): 7-13.

链接本文:

http://dqjs.cesmedia.cn/CN/Y2022/V23/I4/7

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