In order to improve the penetration of renewable energy resources for distribution networks, a joint planning model of distributed generations (DGs) and energy storage is proposed for an active distribution network by using a bi-level programming approach in this paper. In this model, the upper-level aims to seek the optimal location and capacity of DGs and energy storage, while the lower-level optimizes the operation of energy storage devices. To solve this model, an improved binary particle swarm optimization (IBPSO) algorithm based on chaos optimization is developed, and the optimal joint planning is achieved through alternating iterations between the two levels. The simulation results on the PG & E 69-bus distribution system demonstrate that the presented approach manages to reduce the planning deviation caused by the uncertainties of DG outputs and remarkably improve the voltage profile and operational economy of distribution systems.

为了提高可再生能源在配电网中的渗透率，本文采用双层规划方法，提出了分布式发电（DGs）和储能联合规划模型。在该模型中，上层旨在寻求分布式发电和储能的最佳位置和容量，而下层则优化储能装置的运行。针对该模型，开发了一种基于混沌优化的改进二元粒子群优化（IBPSO）算法，通过两层交替迭代实现最优联合规划。PG上的仿真结果&