考虑退化成本的电池储能参与调频辅助服务市场的控制方法

Control Method for Battery Energy Storage Participating in Frequency Regulation Market Considering Degradation Cost

基于性能支付的调频市场是电池储能参与的重要电力市场之一。电池储能通过提供调频容量和跟踪调频指令获得收益。然而,过度使用电池将加速其退化进程,降低电池的使用寿命。因此,调频市场中的电池储能参与者需要在其运营策略中考虑电池退化成本,以最大化其参与调频市场的收益。基于模型预测控制方法,提出了一种考虑退化成本的电池储能参与调频市场的控制方法,用于生成响应调频指令。首先,通过时间序列分析法对未来的调频指令进行预测;其次,采用分段线性成本函数对电池循环老化过程进行建模;最后,通过求解模型预测控制优化问题得到电池储能对当前调频指令的响应结果。仿真结果表明,采用所提方法可以使得电池储能在降低退化成本的同时保持较高的调频性能指标,从而提高在调频市场中的总收益。

The performance-based frequency regulation market is one of the most important electricity markets for battery energy storage(BES)to participate in.The BES gets profits by providing frequency regulation capacities and tracking regulation instructions.However,overly aggressive use of the energy storage battery will accelerate its degradation and shorten its service life.Therefore,the BES participants in the performance-based frequency regulation market should take the cost of battery aging into consideration in order to maximize their market profits.Based on the model predictive control,this paper proposes a control method considering the battery degradation cost for the BES participants in the frequency regulation market,which is used to respond to the frequency regulation instructions.First,the future frequency regulation instructions are predicted via the time series analysis.Second,the piecewise linear cost function is used to model the battery cycling aging cost.Finally,the response of the battery is obtained by solving the model predictive control optimization problem.The simulation results indicate that the proposed method can reduce the degradation costs of the energy storage batteries while maintaining a high frequency regulation performance score,which increases the total profits of the BES in the frequency regulation market.