Lyapunov Optimization Based Online Energy Flow Control for Multi-energy Community Microgrids

This paper proposes an online optimization method for energy flow control (EFC) in Multi-energy Community Microgrids (MECMs) to realize cost savings as well as renewable energy source (RES) utilization rate increasing. To be specifically, the event-triggering mechanisms are firstly established considering queue length variations of energy storage system, active load, and user comfort. Without relying on the accurate forecasting of RES scenarios and load data, we use Lyapunov optimization method to collect only the current period data to implement the system optimization, which avoids the problem of stochastic nature imposed by both supply and demand sides. Finally, the performance analysis of the proposed event-driven based online algorithm is evaluated through real data cases in Hangzhou, China. Simulation results illustrate the feasibility and the effectiveness of the proposed method.