Coordinated planning of Distributed Energy Resources and microgrid network

Abstract

Current planning in microgrid includes two decoupled processes: the Distributed Energy Resources (DERs) planning and network topology planning. Each planning process is implemented assuming the other is given, i.e., the DERs planning is implemented assuming the network topology is fixed and vice versa. The decoupled planning processes may result in suboptimal solutions and deteriorate the microgrid reliability under the high penetration of DERs. The coordinated generation and network planning is necessary to maximize the social surplus and improve the system reliability. In this paper, a novel framework to coordinate the planning of DERs capacity and microgrid network topology is proposed. To improve the computational efficiency, the problem is further decomposed into DERs capacity planning sub-problem and microgrid network planning sub-problem. The Adaptive Discrete Particle Swarm Optimization (DPSO) algorithm is applied to solve the capacity planning sub-problem, and improved Genetic Algorithm (GA) is used to solve the network topology planning sub-problem. Case studies on a 29- bus microgrid system in Shanghai is tested to demonstrate the effectiveness of the proposed model.