Cost-efficient multi-energy management with flexible complementarity strategy for energy internet

Abstract

The increasing complexities of energy internet integrated with distributed renewable energy resources and multiple energy infrastructures require more effective multi-energy management method. The prosumers with multiparty interaction represent major potential contributors for comprehensively improving the energy efficiency and socioeconomic benefits. In this paper, a novel multi-energy management strategy based on the complementarity of multi-energy demand was proposed to explore optimal energy scheduling problems of prosumers. The residential prosumer with a multi-energy coupling matrix and the industrial prosumer with a resource-task network were formulated to optimise the local operations. Furthermore, a joint planning for the prosumers was developed to minimise the global operating costs, where the prosumers’ interests in terms of the energy exchange process were formulated as a multi-objective optimisation problem based on the Pareto efficiency theory. In addition, an optimisation method that integrates the epsilon-constraint algorithm and the extreme points of the feasible solution space was proposed to obtain better and more diverse solutions. The proposed methodology was applied to an urban multi-energy system. Simulation results demonstrated that the proposed multi-energy management method could effectively solve the optimal energy scheduling problems. At the compromise solution point, cost reductions of 7% and 10% can be obtained by the two prosumers on a summer day, with cost reductions of 9% and 11% obtained on a winter day. The use of multi-energy management method could establish a win-win relationship for prosumers and generate substantial benefits for the whole system.