首页|核储一体化调频下控制策略与储能容量配置研究

核储一体化调频下控制策略与储能容量配置研究

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

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针对核电参与一次调频,为减少核电机组动作次数,本研究提出核储一体化的调频模式,设计核储协同调频的控制策略.通过电池寿命分析,结合全年电网频率的大数据分析,搭建以储能成本最低为目标的求解模型,用改进粒子群算法寻优求得储能最佳容量.根据某电网一年的频率统计,以实际核电厂运行参数为例进行计算验证.研究结果表明,本文所提出的方案不仅可以使核电厂具备一次调频能力,而且能大大降低机组负荷变动次数.因此,本方案可以在实现核电厂参与一次调频的同时保证机组运行的安全.
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.

Nuclear power and chemical storage(NAC)Primary frequency regulationCapacity allocationImproved particle swarm algorithm

钱虹、王国平、李宝龙

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上海电力大学自动化工程学院,上海,200090

上海市电站自动化技术重点实验室,上海,200090

核储一体化 一次调频 容量配置 改进粒子群算法

上海市自然科学基金

19ZR1420700

2024

核动力工程
中国核动力研究设计院

核动力工程

CSTPCD北大核心
影响因子:0.3
ISSN:0258-0926
年,卷(期):2024.45(1)
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