Interval Multi-Objective Optimal Scheduling for Redundant Residential Microgrid with VESS

Abstract

Optimal scheduling of building microgrid could yield economical savings and reduce the pollutants emission, while ensuring the comfort level of users. A multi-objective optimal scheduling problem is studied for one kind of building microgrid - redundant residential microgrid (RR-microgrid). The radiant floor heating/cooling system widely utilized in residential buildings is treated as the virtual energy storage system (VESS) to dig up the considerable thermal storage capacity. Interval number is employed to describe the random fluctuation of uncertainty factors, such as renewable energy power, electric load, and weather conditions in the process of microgrid operation, while the exchange power with external grid and the output power of micro-gas turbines are, respectively, taken as the mean to smooth the electric power fluctuation, and two different optimization scheduling models which take the operating cost (OC), thermal comfort level (TCL), and pollutant emission (PE) as the optimization objectives are developed, and an improved non-dominate sorting genetic algorithm II (NSGA-II) is proposed to search the Pareto front of the scheduling models. The case study for heating in winter is performed and the results demonstrate the effectiveness of the proposed optimal scheduling method.