Research on Control Strategy and Energy Storage Capacity Allocation under NAC and Frequency Regulation

被引：0

作者：

Qian H. ^{[1
,2
]}

Wang G. ^{[1
]}

Li B. ^{[1
]}

机构：

[1] School of Automation Engineering, Shanghai University of Electric Power, Shanghai

[2] Shanghai Key Laboratory of Power Station Automation Technology, Shanghai

来源：

Hedongli Gongcheng/Nuclear Power Engineering | 2024年 / 45卷 / 01期

关键词：

Capacity allocation; Improved particle swarm algorithm; Nuclear power and chemical storage (NAC); Primary frequency regulation;

D O I：

10.13832/j.jnpe.2024.01.0171

中图分类号：

学科分类号：

摘要：

For the participation of nuclear power in primary frequency regulation, this study proposes a frequency regulation mode with integration of nuclear power and chemical storage, and the control strategy of frequency regulation with integrated nuclear power and chemical storage is designed. Through the analysis of battery life, combined with the big data analysis of annual power grid frequency, a solution model aiming at the lowest energy storage cost is established, and the optimal energy storage capacity is obtained by using the improved particle swarm optimization algorithm. Based on the frequency statistics of a power grid for one year, the actual operating parameters of the nuclear power plant are taken as the example for calculation and verification. The results show that the proposed scheme cannot only enable the nuclear power plant for primary frequency regulation, but also greatly reduce the number of unit load changes. Therefore, this study can ensure the safety of unit operation while realizing the participation of nuclear power plants in primary frequency regulation. © 2024 Atomic Energy Press. All rights reserved.

引用

页码：171 / 177

页数：6