A distributed control strategy of microgrid based on multi-agent consensus algorithm

In an islanded microgrid with distributed generators (DGs), on account of the influence of feeder impedance, load and other factors, it is difficult to dispatch output power reasonably by means of droop control, therefore the secondary control is employed to solve this problem. However, the convention methods may fail to achieve the expected effect. In this context, an improved distributed control strategy based on multi-agent consensus algorithm is proposed in this paper. A virtual leader is set to track the balance of power. Through the mutual communication between DGs, it can realize the flexible distribution of load power and has good convergence. By introducing the integral controller on the basis of conventional droop control, the droop curve can move adaptively to maintain frequency and voltage stable. Finally, the effectiveness of the proposed scheme and the performance of anti-communication failure are verified in MATLAB/Simulink simulation platform.