Studies on stochastic unit commitment formulation with flexible generating units

作     者：Ding, Xiaoying Lee, Wei-Jen Wang Jianxue Liu, Lin 

作者机构：Univ Texas Arlington Energy Syst Res Ctr Arlington TX 76019 USA Xi An Jiao Tong Univ Xian 710049 Peoples R China State Key Lab Elect Insulat & Power Equipment Xian 710049 Peoples R China 

出 版 物：《ELECTRIC POWER SYSTEMS RESEARCH》 (电力系统研究)

年 卷 期：2010年第80卷第1期

页      面：130-141页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

主　　题：Stochastic unit commitment Flexible generating units Wind generation Chance constrained programming 

摘      要：In recent years, restructured power system has emerged and renewable energy generation technology has developed. More and more different unit characteristics and stochastic factors make the unit commitment (UC) more difficult than before. A novel stochastic UC formulation which covered the usual thermal units, flexible generating units and wind generation units is proposed to meet the need of energy-savings and environment protection. By introducing a UC risk constraint (UCRC), many stochastic factors such as demand fluctuations, unit force Outages. variety of energy price, even the stochastic characteristics of wind generation can be dealt with. Based on the theory of chance constrained programming (CCP), the UCRC, a probabilistic constraint is changed into a determinate constraint, and then the presented formulation can be solved by usual optimization algorithms. Numerical simulations on 4 test systems with different scales show that different UC schedules can be determined according to different stochastic factors and its calculation time is acceptable in the view of practical engineer. (C) 2009 Elsevier B.V. All rights reserved.