考虑频率安全约束的高比例风电电力系统储能优化配置策略

Optimization strategy for energy storage configuration in high proportion wind power system considering frequency safety constraints

近年来,具有强不确定性、弱支撑能力的风电机组大规模并网,给电力系统的频率安全造成严重冲击。为提升高比例风电的电力系统稳定运行的能力,提出一种考虑频率安全约束的储能优化配置策略。首先,推导了高比例风电电力系统多主体频率响应表达式,建立全系统动态频率响应模型;其次,以电力系统年总成本值最小化为目标,建立上层储能容量优化配置模型,以系统日前调度成本最小化为目标,构建考虑频率安全约束的下层典型日优化调度模型,并采用改进粒子群算法对该双层模型进行求解;最后,基于改进IEEE 39节点系统进行算例分析。研究结果表明:该策略可以保证电力系统稳定而充裕的调频资源,在满足频率安全约束的同时,有效改善电力系统运行的经济性。

In recent years,the large-scale integration of wind turbines,characterized by strong uncertainty and weak support capability,has posed significant challenges to the frequency security of power systems.To enhance the stable operation capability of power systems with a high proportion of wind power,this paper proposes an optimal energy storage allocation strategy considering frequency security constraints.Firstly,the multi-agent frequency response expression for power systems with a high proportion of wind power is derived,and a dynamic frequency response model for the entire system is established.Secondly,aiming to minimize the annual total cost of the power system,an upperlevel optimal energy storage capacity allocation model is formulated.With the objective of minimizing the day-ahead scheduling cost of the system,a lower-level typical daily optimal scheduling model considering frequency security constraints is constructed.An improved particle swarm optimization algorithm is adopted to solve this bi-level model.Finally,a case study is conducted based on a modified IEEE 39-bus system.The research results indicate that this strategy can ensure stable and adequate frequency regulation resources for the power system,effectively improving the economic performance of power system operation while satisfying frequency security constraints.