为了解决火储联合调频协同控制效果与储能系统成本回收的问题，提出一种改进粒子群算法的储能优化控制策略，通过引入自适应权重调整全局搜索方向，并解决储能电荷状态与出力状态的耦合性问题，建立火储联合调频综合性能指标进行储能控制策略研究。案例仿真结果表明：本文所提算法比传统算法在收敛效果方面具有明显优越性，避免了局部最优解问题；当储能系统电荷状态设置在57.5%和42.5%时，提高了机组调频响应效果，延长了储能设备的使用寿命。

In order to solve the problems of coordinated control effect of thermalenergy storage frequency modulation and the cost recovery of energy storage system,an energy storage optimization control strategy based on improved particle swarm optimization (PSO) algorithm is proposed.By introducing selfadaptive weight to adjust the global search direction,resolving the coupling problem between energy storage charge state and output state,the index of thermalenergy storage frequency modulation is established to study the energy storage control strategy.The result of the case simulation show that the algorithm proposed in this paper has more obvious advantages than the traditional algorithm in the effect of convergence and avoids the problem of local optimal solution.It can improve the frequency modulation response effect and prolong the service life of the energy storage equipment when the state of charge of the energy storage system is set at 57.5% and 42.5%.

TM711