Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network

As the penetration of renewable energy resources has been increased in the distribution network, the intermittent and fluctuation of the system parameters have increased highly. Energy Storage Systems (ESSs) is one of the best candidates to overcome this intermittency, especially in the Photo-voltaic connected (PV-connected) distribution network. In this paper, optimal planning of ESSs in a PV-connected distribution network regarding PV and load uncertainties is studied. Operation conditions are considered based on a time-series framework. The Fuzzy Clustering Method (FCM) is adopted to create sample days. Moreover, since the optimization problem is a mixed-integer nonlinear programming problem, Particle Swarm optimization (PSO) is chosen as a powerful nonlinear optimization solver. A modified 33-bus is employed to verify the proposed method. The PSO determines the optimal size and sites of ESSs in the distribution network which is confirmed in the simulation results. Moreover, the effects of integration ESSs with PVs to support load growth and peak reduction are illustrated.