Strategy for central charging station participating in peak-valley regulation of distribution network

Based on Hangzhou electric vehicle service network, the significance of the CCS(Central Charging Station) participating in the peak-valley regulation of distribution network is elaborated. A mathematical model with the minimum load fluctuation as its optimization objective is established for it, including the constraints of power battery charging/discharging direction, charging/discharging power and SOC(State Of Charge). An IPSOS(Improved PSO based on Sub-vector) is proposed, which divides a high-dimensional optimization problem into several low-dimensional ones to greatly reduce the possibility of local optimum of PSO (Particle Swarm Optimization) algorithm. Analysis shows the divisibility of high-dimensional optimization problem is the key of IPSOS algorithm application. Therefore, a rational assumption is preset for the CCS participating in the peak-valley regulation to meet the requirement of divisibility. Case study verifies the effectiveness of the proposed algorithm and the best strategy for the CCS participating in the peak-valley regulation of distribution network is given.