1.North China Electric Power University（Baoding）;2.North China Electric Power University(Baoding)
The orderly charging and discharging of electric vehicles is crucial to the energy management of community micro grid. The research object was taken as the community micro grid considering the uncertainty of renewable energy output. A distributed robust optimal scheduling model, which aimed at minimizing the operating cost of micro grid and considered the combination of orderly charging and discharging of electric vehicles and demand response, was proposed to improve system's adjusting ability for source-side fluctuation. The mathematical model of electric vehicles and related equipment in micro grid was constructed according to energy balance and equipment’s operating characteristics. Source-side uncertainty was processed by using distributed robust optimization. The uncertainty set of renewable energy output was constructed by the comprehensive norm condition. The robust scheduling scheme of micro grid’s equipment was solved by C&CG algorithm. The example analyses show that proposed method reduces the operating, gird interaction and carbon trading cost by 10.66%, 13.9% and 6.39%, respectively.
李一鸣,王江江,曹艺怀. 计及电动汽车有序调度的社区微网能量管理[J]. 科学技术与工程, , ():复制