A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power

作者：Zhang Ning^*; Hu Zhaoguang; Han Xue; Zhang Jian; Zhou Yuhui

来源：International Journal of Electrical Power & Energy Systems, 2015, 65: 201-209.

DOI：10.1016/j.ijepes.2014.10.005

• Fuzzy chance-constrained program
• Unit commitment
• Demand response
• Electric vehicle
• Vehicle-to-grid
• Wind power

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.

• 出版日期2015-2
• 单位国网电力科学研究院; 北京交通大学; 国网能源研究院