Multi-agent based optimal operation of hybrid energy resources under high penetration of wind power generation

Abstract

With the integration of wind power and photovoltaic power, optimal operation of hybrid energy resources becomes great challenge due to its non-convex, stochastic and complex-coupled characteristics. This paper proposes a multi-agent based optimal operation method to properly manage different energy resources, and an improved multi-objective optimization algorithm is also proposed to optimize the optimal operation problem. Hybrid energy resources are classified as three categories: stable power resource, intermittent power resource and energy storage, which can be properly managed with three agents. Each agent represents each energy power resource, and those agents coordinate together to achieve global optima with satisfying various constraints. Based on above multi-agent system, a novel multi-objective differential evolution is proposed to optimize the system model, and both simulation results and a real-life case study confirm that the multi-agent system based optimization method can be taken as a viable alternative for optimizing hybrid energy resource problem.