  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.
