Multiple Time-Scale Collaborative Optimal Dispatch Methods for Electric Vehicles and Wind Power

Yi Sun; Xue Liang Huang; Zhong Chen; Hao Qiang; Qi Dong Zhang

doi:10.4028/www.scientific.net/AMM.472.958

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 472Multiple Time-Scale Collaborative Optimal Dispatch...

Multiple Time-Scale Collaborative Optimal Dispatch Methods for Electric Vehicles and Wind Power

Abstract:

Renewable energy, especially wind power has the characteristic of fluctuation. Improving its capacity integrated into grid is a difficult task. Electric vehicle which has few greenhouse gas emissions is developing rapidly. But it will be noneffective to reduce greenhouse gas emission if using traditional energy to charge electric vehicles. Taking into account the synergies between electric vehicle and wind power, the multiple time-scale optimal dispatch methods were proposed based on traditional day-ahead generation schedule. The effects of optimal dispatch on reducing abandoned wind power, leveling power plants output were studied in IEEE 24-bus system. It is concluded that with large amounts of EVs connected into grid, the multiple time-scale optimal dispatch methods for electric vehicles and wind power contribute to realizing clean charge and improving wind power utilization.