Study On Optimization Model Of The Battery Switch Station Based On Micro-grid

With the growing energy crisis and environmental pollution and other issues, the world have turned their attention to promote the development and utilization of new energy sources and electric vehicles (EVs).However, the EVs are still mainly dependent on National Grid charging, and did not realize the true sense of the green transportation. On the other hand, the lack of infrastructure hinders the popularity of EVs. Meanwhile, new energy technologies are maturing, but the new energy has not been fully and effectively utilized because of network problems. Therefore, study of distributed power supply and EV together, build EV charging infrastructure optimization theory model of urban planning has important practical significance.Article gives a brief introduction of current development of EVs and micro-grid, detailed analysis the characteristics and scope of current three different charging mode and predicts the future development direction of theEV’s Storage System.Analyzed the integration of green energy micro-grid and EV’s infrastructure. Established a operation system model about EV’s power charging based on green energy micro-grid. Meanwhile, paper gives the analysis of the advantages of this mode.Studied the main factors affecting the demand for battery switch station (BSS). Proposed a prediction method of EV’s ownership. Established a electricity demand forecasting model based on constructing different scale BSS.Paper focuses analyzed the site selection principles of BSS. BSS’s Service radius and EV’s electric demand as constraints, the minimum investment costs of BSS as the objective function,paper constructed a mathematical model for BSS’s site selection in the city. Particle Swarm Optimization and simulation examples verify the correctness and validity of the model proposed.