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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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)

Received: 30 September 2021

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	Articles by authors
	YANG Haitao
	JIANG Jingjing
	ZHAO Min
	ZHAO Feng
	DOU Zhenlan

Cite this article:

YANG Haitao,JIANG Jingjing,ZHAO Min等. Operational optimization method of regional integrated energy system based on model predictive control[J]. Electrical Engineering, 2022, 23(4): 7-13.

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

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