基于多智能体系统的分布式风储协同频率控制策略

随着风电渗透率逐渐提高，缺少传统调频资源的电网将面临频率安全稳定问题。因此提出一种基于多智能体系统的分布式风储协同频率控制策略。首先，各智能体利用平均一致性算法实现全局信息精确分享。然后，根据获得的全局信息，利用分布式经济性算法确定各台风电机组的最优减载率。当电网发生频率扰动时，各智能体通过分布式方法整定控制参数，控制相应风储设备协助同步发电机组参与惯量响应和一次调频。最后，通过仿真验证了所提控制策略的有效性。结果表明，所提控制策略能够保证电网频率满足动态响应指标。

Distributed wind-storage coordinate frequency control strategy based on a multi-agent system

With the gradual increase in the penetration rate of wind power, a power system lacking traditional frequency regulation resources will face the problem of frequency security and stability. Therefore, this paper proposes a distributed wind-storage coordinate frequency control strategy based on a multi-agent system. First, each agent uses the average consensus algorithm to accurately share global information, and then uses the distributed economic algorithm to determine the optimal load shedding ratio of each wind turbine according to the obtained global information. When a frequency disturbance occurs in the power system, each agent adjusts the control parameters through a distributed method, and controls the corresponding wind-storage equipment to assist the synchronous generator set to participate in the inertia response and primary frequency control. Finally, the effectiveness of the proposed control strategy is verified by simulation. The results show that the proposed control strategy can ensure that the system frequency meets the dynamic response index. This work is supported by the National Natural Science Foundation of China (No. 51977128).