基于多智能体一致性的微电网自适应下垂控制策略

Adaptive droop control strategy for microgrid based on consensus of multi-agent system

利用智能体间的分布式通信,提出了一种基于多智能体一致性的自适应下垂控制策略,用于解决传统下垂控制中频率和电压偏差、系统稳定性和功率分配精度的问题。在传统下垂控制基础上,建立了有功功率分配、有功-频率和无功-电压的二阶动态模型。在考虑通信延迟的基础上,利用无领导的一致性控制分布式电源的有功出力满足传统下垂控制的要求;利用含虚拟领导者的一致性修正传统下垂控制中的频率和电压偏差;通过Lyapunov直接法验证了系统的渐进稳定性,故而解决了传统控制中有功下垂系数对系统稳定性的影响问题;分析了通信扰动对控制结果和稳定性的影响。通过仿真验证了所提策略的有效性。

With the distributed communication between agencies,an adaptive droop control strategy for microgrid based on the consensus of multi-agent system is proposed. The proposed strategy is designed to solve the problems of frequency and voltage deviation,system stability and power allocation accuracy in traditional droop control. The secondary-order dynamic models of active power allocation,active powerfrequency and reactive power-voltage droop control are proposed based on the traditional droop control.Considering the time-delay of communication,the leaderless synergetic control is proposed to control the active power of distributed generations to meet the traditional droop control requirements. Meanwhile,the synergetic control with a virtual leader is proposed to correct the system frequency and voltage deviations.Moreover,the direct Lyapunov method is employed to verify the asymptotical stability of the system,and the influence of communication disturbances on the control result and stability is analyzed. The simulative results verify the effectiveness of the proposed strategy.