Optimal operation of cold–heat–electricity multi-energy collaborative system based on price demand response

被引：0

作者：

Cao Y. ^{[1
]}

Wang L. ^{[1
]}

Jiang S. ^{[2
]}

Yang W. ^{[2
]}

Zeng M. ^{[1
]}

Guo X. ^{[1
]}

机构：

[1] School of Economics and Management, North China Electric Power University, Beijing

[2] State Grid Economic and Technological Research Institute Co., Beijing

来源：

Global Energy Interconnection | 2020年 / 3卷 / 05期

关键词：

Demand response; Energy hub; Market elasticity; Multi-energy collaborative system; Optimized operation;

D O I：

10.1016/j.gloei.2020.11.003

中图分类号：

学科分类号：

摘要：

In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improve their individual operating efficiency and overall economic benefits. Demand response, as a multi-energy supply and demand balance method, can further improve system flexibility and economy. Therefore, a multi-energy cooperative system optimization model has been proposed, which is driven by price-based demand response to determine the impact of power-demand response on the optimal operating mode of a multi-energy cooperative system. The main components of the multi-energy collaborative system have been analyzed. The multi-energy coupling characteristics have been identified based on the energy hub model. Using market elasticity as a basis, a price-based demand response model has been built. The model has been optimized to minimize daily operating cost of the multi-energy collaborative system. Using data from an actual situation, the model has been verified, and we have shown that the adoption of price-based demand response measures can significantly improve the economy of multi-energy collaborative systems. © 2020 Global Energy Interconnection Development and Cooperation Organization

引用

页码：430 / 441

页数：11

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