Learn More
Large-scale deployment of electric vehicles (EVs) is anticipated in the foreseeable future. Heavy intermittent charging load of EVs will create bottlenecks in supplying capacity and expose power system to severe security risks. In this paper, we propose an intelligent method to control EV charging loads in response to time-of-use (TOU) price in a regulated(More)
Mingchao Xia 1,*, Qingying Lai 1, Yajiao Zhong 1, Canbing Li 2 and Hsiao-Dong Chiang 3 1 School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China; 14120840@bjtu.edu.cn (Q.L.); 13121512@bjtu.edu.cn (Y.Z.) 2 College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; lcb@hnu.edu.cn 3 Department of(More)
There is an increasingly hot debate on whether the replacement of conventional vehicles (CVs) by electric vehicles (EVs) should be delayed or accelerated since EVs require higher cost and cause more pollution than CVs in the manufacturing process. Here we reveal two hidden benefits of EVs for addressing climate change to support the imperative acceleration(More)
Wind power is a challenge for active operation of distribution networks because of its stochastic nature. In this paper, a two-stage stochastic-programming-based optimal power flow model is proposed for the short-term operation (e.g., 1 h ahead) of distribution networks with wind power. In this model, the wind power is dispatched in the first stage, and(More)