港口微电网风险运行状态恢复方法——融合柔性资源

Ports, as pivotal hubs of global logistics and energy exchange, play an indispensable role in international trade. However, risk operational states within port grids often lead to severe accidents, resulting in substantial economic losses. Flexible resources within ports, such as micro-turbines, automated guided vehicles, electric ships, quay cranes, and refrigerated containers, offer innovative solutions for deal with these risk operational states. This paper proposes effective recovery methods for three risk operational states, including distributed generators plug-in and out, grid disconnection and shock load occurrence to enhance the resilience of port microgrids. The methods aim to making the port microgrid repaid recover from a risk operational state to a normal operation. For the distributed generators plug-in and out, a sum-following consensus control method is proposed, which can alleviate the power mutation and frequency shifts caused by anyone of them plugging-in or out. For grid disconnection and shock load occurrence, a multi-agent deep reinforcement learning method incorporating flexible resources is proposed to mitigate the power shock to the port microgrids. The simulation results show that the proposed method can achieve frequency recovery through flexible resources dispatch, while ensuring the economics of the dispatch process.