陈彪, 王玮, 高嵩, 李沂洹, 张文政, 房方. 计及灵活经济环保运行的火电-飞轮储能系统容量配置与调频参数协同优化[J]. 动力工程学报, 2024, 44(3): 376-384. DOI: 10.19805/j.cnki.jcspe.2024.230417
引用本文: 陈彪, 王玮, 高嵩, 李沂洹, 张文政, 房方. 计及灵活经济环保运行的火电-飞轮储能系统容量配置与调频参数协同优化[J]. 动力工程学报, 2024, 44(3): 376-384. DOI: 10.19805/j.cnki.jcspe.2024.230417
CHEN Biao, WANG Wei, GAO Song, LI Yihuan, ZHAGN Wenzheng, FANG Fang. Co-optimization of Capacity Allocation and Frequency Control Parameters for Thermal Power-Flywheel Energy Storage System Considering Flexible,Economical and Environment Friendly Operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 376-384. DOI: 10.19805/j.cnki.jcspe.2024.230417
Citation: CHEN Biao, WANG Wei, GAO Song, LI Yihuan, ZHAGN Wenzheng, FANG Fang. Co-optimization of Capacity Allocation and Frequency Control Parameters for Thermal Power-Flywheel Energy Storage System Considering Flexible,Economical and Environment Friendly Operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 376-384. DOI: 10.19805/j.cnki.jcspe.2024.230417

计及灵活经济环保运行的火电-飞轮储能系统容量配置与调频参数协同优化

Co-optimization of Capacity Allocation and Frequency Control Parameters for Thermal Power-Flywheel Energy Storage System Considering Flexible,Economical and Environment Friendly Operation

  • 摘要: 提出了一种计及灵活经济环保运行的火储系统容量配置与调频参数协同优化方法。首先,设计了一种基于低通滤波自动分配火储功率和考虑储能荷电状态自恢复的火储联合一次调频协调控制策略;综合考虑系统调频性能、投入运行成本、污染物排放等,建立了火储容量配置与调频参数协同优化模型,并给出了基于粒子群算法的求解方法。最后,以某火储系统为例进行仿真验证。结果表明:协调控制策略和协同优化方法具有有效性。

     

    Abstract: A co-optimization method was proposed for capacity allocation and frequency control parameters of thermal power-energy storage system considering flexible, economical and environment friendly operation. Firstly, a coordinated control strategy was designed for primary frequency regulation of combined thermal power and energy storage based on automatic allocation of power-energy storage by low-pass filter and the self-recovery of energy storage state was considered. Subsequently, considering frequency control performance, operational cost and pollutant emission of the system, a co-optimization model was developed for capacity allocation and frequency control parameters of thermal power-energy storage system, and a solution method based on particle swarm algorithm was provided. Finally, simulation verification was performed using a specific thermal power-energy storage system as an example. Results show that the coordinated control strategy and the co-optimization method are effective.

     

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