A fuzzy chance-constrained program for unit commitment problem considering demand response,electric vehicle and wind power |
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| Affiliation: | 1. School of Electrical Engineering, Beijing Jiaotong University, Beijing, China;2. State Grid Energy Research Institute, State Grid Corporation of China, Beijing, China;3. Department of Electrical Engineering, Technical University of Denmark, Roskilde, Denmark;1. COMSATS Institute of Information Technology, G. T. Road, 47040, Wah Cantt., Pakistan;2. COMSATS Institute of Information Technology, Park Road, Chak Shahzad, 44000, Islamabad, Pakistan;1. Key Laboratory of Smart Grid(Tianjin University), Ministry of Education, Nankai District, Tianjin, 300072, China;2. Department of Electronic and Electrical Engineering, University of Bath, Bath, BA2 7AY, UK;1. Department of Electronics and Electrical Systems, University of Lahore, Pakistan;2. Department of Computer Science, Virtual University, Pakistan;3. Department of Electrical Engineering, Air University, Islamabad, Pakistan |
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| Abstract: | As a form of renewable and low-carbon energy resource, wind power is anticipated to play an essential role in the future energy structure. Whereas, its features of time mismatch with power demand and uncertainty pose barriers for the power system to utilize it effectively. Hence, a novel unit commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasibility to change the load demand curve to solve the mismatch problem. On the other hand, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance-constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power system operation more eco-friendly and economical. |
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| Keywords: | Fuzzy chance-constrained program Unit commitment Demand response Electric vehicle Vehicle-to-grid Wind power |
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