摘要
为应对电动汽车电池老化给电力系统带来的调频稳定性降低与成本升高等严峻挑战,提出考虑改进粒子滤波健康状态预测与经济优化的电动汽车集群调频策略。首先,基于蒙特卡罗与贝叶斯滤波原理,利用边界约束与指数罚函数通过改进粒子滤波预测健康状态并重构电动汽车集群;其次,根据荷电状态与健康状态,结合比例-积分控制器,搭建集群变频率特征系数控制模型并引入系统调度模型;然后,以频率偏差与经济成本为目标函数优化调度指令;最后,仿真验证所提策略对降低调频偏差与经济成本都有良好效果,实现了电动汽车资源高效利用。
To cope with the serious challenges to a power system brought by the aging of electric vehicle(EV)batteries such as a decrease in frequency modulation stability and an increase in cost,a frequency modulation strategy for EV clusters based on improved particle filter state-of-health(SOH)prediction and economic optimization is proposed.First,based on the Monte Carlo thought and Bayesian filtering principle,the SOH is predicted by an improved particle filter using boundary constraints and an exponential penalty function,and the EV clusters are reconstructed.Second,a variable frequency characteristic coefficient control model of clusters is established according to the state-of-charge(SOC)and SOH by combining with a proportional integral controller,which is further introduced into a system schedul-ing model.Third,the frequency deviation and economic cost are taken as objective functions to optimize the scheduling instructions.Finally,simulation results show that the proposed strategy has a good effect on reducing the frequency de-viation and economic cost,and it realizes an efficient utilization of EV resources.
作者
孙英
肖龙坤
王天奕
任博凯
张磊
SUN Ying;XIAO Longkun;WANG Tianyi;REN Bokai;ZHANG Lei(State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300401,China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province,Hebei University of Technology,Tianjin 300401,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2024年第12期54-65,共12页
Proceedings of the CSU-EPSA
基金
国网天津市电力公司科技项目(2024-02-4-5)。
关键词
电动汽车
调频策略
健康状态
改进粒子滤波
荷电状态
经济优化
electric vehicle(EV)
frequency modulation strategy
state-of-health(SOH)
improved particle filter
state-of-charge(SOC)
economic optimization
