Adaptive Robust Operation of Multi-Energy Microgrids with Thermal Load Control

A multi-energy microgrid (MEMG) has distributed generation such as wind turbines, PVs and combined heat and power (CHP) plants, thermal storage systems (TSSs) as well as electric and thermal loads. To address the uncertainty issue caused by the wind and PV power generation, this paper proposes using the CHP plants, the TSSs and controllable thermal loads in an adaptive operation method of the MEMG. The TSSs are scheduled one day ahead, and the CHP dispatch and the thermal load control are optimized during the day. Then, this paper applies a two-stage robust optimization method to obtain a robust solution considering the worst case of uncertainty realization. By doing so, the operating cost can be minimized and the MEMG operating constraints can be ensured under the uncertainties, achieving an adaptive robust operation method of MEMG. Simulation results verify high solution efficiency and robustness of the proposed adaptive robust operation method, compared to a conventional deterministic method.