Multi-time Scale Energy-Management Strategy Based on Rule Reasoning for Stand-alone Microgrid

This paper is focused on energy management studies in the context of remote stand-alone microgrid. Big challenges in power quality, reliability, efficiency and control could be brought in the system, when the penetration of renewable energy is considerable high. A multi-time scale energy-management strategy based on rule reasoning is proposed to ensure a reliable power supply at the minimum cost of the system operation. Based on different time scales, the proposed energy-management strategy consists of economic scheduling and real-time scheduling. The economic scheduling is to achieve economy optimal status, while the real-time scheduling maintains the stability of the system. Experimental results are presented to demonstrate the performance of the proposed strategy in both stability and economy of the system.