Multi-objective Optimization Control Strategy for PV-Storage-Charging Stations for Peak Shaving of Distribution Network

PV-storage-charging stations can effectively reduce the power supply load of the distribution network, but is less active in providing services to the distribution network. In view of the multi-objective optimization control problem of PV-storage-charging stations for peak shaving of the distribution network, multiple operation scenarios are considered to set an optimization objective of maximizing the income of PV-storage-charging stations and minimizing the peak-valley difference of the distribution network. On the premise of meeting the charging demand of electric vehicles, appropriate optimization strategies shall be adopted in different scenarios, so as to increase the income of charging stations and reduce the peak-valley difference of the distribution network. Various energy storage operating conditions are converted to the energy storage operating cost by the rain-flow counting algorithm. Finally, the optimization problem is solved using an improved Particle Swarm Optimization (PSO) algorithm, and the results show that the proposed strategy can increase the income of PV-storage-charging stations and reduce the peak shaving load of the grid.