标题：Risk-Based Admissibility Analysis of Wind Power Integration into Power System With Energy Storage System
作者：Zhang, Yumin; Han, Xueshan; Xu, Bo; Wang, Mingqiang; Ye, Pingfeng; Pei, Younan
作者机构：[Zhang, Yumin; Han, Xueshan; Wang, Mingqiang; Ye, Pingfeng; Pei, Younan] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 25006 更多
通讯作者：Han, XS;Han, Xueshan
通讯作者地址：[Han, XS]Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Shandong, Peoples R China.
关键词：Conditional value-at-risk (CVaR); column and constraint generation; method (C&CG); energy storage system (ESS); flexible uncertainty set;; risk-based unit commitment; wind generation uncertainty
摘要：The increasing high penetration of wind power will further increase the uncertainty in power systems, and three key issues should be addressed: 1) determining the maximum accommodation level of wind power without sacrificing system reliability; 2) quantifying the potential risk when the wind generation realization is beyond the prescribed uncertainty sets; and 3) how to reduce the risk loss. Motivated by these, a risk-based two-stage robust unit commitment (RUC) model is proposed to analyze the admissibility of wind power. In this model, the electricity storage system (ESS) is utilized for managing the wind power uncertainty to reduce the risk loss. Different from a determined uncertainty set in the previous RUC, the proposed method can flexibly adjust the uncertainty set by optimizing the operational risks including the wind spillage risk and load shedding risk. Conditional Value-at Risk (CVaR) is adopted to describe the risk loss when the real wind power output is beyond the predefined uncertainty set. Meanwhile, the low-probability, high-influence events are taken into the account based on CVaR to determine the optimal acceptable wind generation considering the tradeoff between reliability and economics. The proposed model is solved effectively by the modified column and constraint generation method. Case studies on two benchmark systems illustrate that the ESS can reduce the risk loss of power system and improve the ability to accommodate the uncertainty of wind generation.