Coordinated optimal operation strategy of thermal power-energy storage considering demand response and life model of energy storage

被引：0

作者：

Chen Y. ^{[1
,2
,3
]}

Wu C. ^{[1
]}

Jiao Y. ^{[1
]}

Sun Z. ^{[1
]}

Dai S. ^{[4
]}

Zhang P. ^{[5
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing

[2] Qinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining

[3] School of Engineering, Xining University, Xining

[4] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing

[5] Beijing Electric Power Economic and Technological Research Institute Co., Ltd., Beijing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Coordinated optimal operation; Deep peak regulation; Demand response; Life model of energy storage; New energy consumption;

D O I：

10.16081/j.epae.202201012

中图分类号：

学科分类号：

摘要：

Aiming at the peak regulation and consumption problems caused by the large-scale grid-connected new energy, and the insufficient consideration of existing optimal scheduling strategy on the life cost of energy storage, a coordinated optimal operation strategy of thermal power-energy storage considering demand response and life model of energy storage is proposed. The upper layer guides the electricity consumption through time-of-use electricity price, and the optimized load curve is obtained with the goal of minimizing the fluctuation of net load, which aims to reduce the peak regulation pressure of thermal power-energy storage and improve the consumption of new energy. The lower layer coordinates and optimizes the operation of wind power, photovoltaic, thermal power and energy storage with the goal of minimizing the total scheduling cost of the system. Considering the deep peak regulation of thermal power and embedding the life model of energy storage in the optimal scheduling, the optimal operation mode of each power source and energy sto-rage is obtained. Taking an actual system in a certain area as the example, the results show that the proposed strategy can effectively improve the peak regulation pressure of the system, improve the consumption capacity of new energy, reasonably reflect the life cost of energy storage, and improve the operation economy of the system. © 2022, Electric Power Automation Equipment Press. All right reserved.

引用

页码：16 / 24

页数：8

共 21 条

[21] LI Wenchao, TONG Yibin, ZHANG Weige, Energy storage capacity allocation method of electric vehicle charging station considering battery life, Advanced Technology of Electrical Engineering and Energy, 38, 4, pp. 55-63, (2019)

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