Droop control of microgrids based on distributed optimization

In this paper, we discuss the optimal power balance and frequency stability in microgrids by imposing distributed optimization scheme on droop control. Assign each agent for each power source to take the responsibility of tuning the generation level in real time. Considering each agent only has its local information, we propose a novel distributed optimization algorithm for each agent to get the optimal generation decision. The parameter of each droop controller is tuned according to the optimal solution provided by the distributed algorithm. With the droop controller, the control structure achieves both the frequency stabilization and economical load sharing. Moreover, we show some cases to demonstrate the effectiveness of our methodology.