电力建设2017，Vol.38Issue(4)：18-25,8.DOI:10.3969/j.issn.1000-7229.2017.04.003
计及安全约束的机组最优组合鲁棒优化方法
Robust Optimization Based Security-Constrained Unit Commitment
摘要
Abstract
Due to the ever-increasing penetration of wind power in power systems, the uncertainties of wind power outputs have brought significant problems or even challenges to the secure and economic operation of the power systems concerned.Hence, in making the scheduling scheme and dispatching strategy how to address the security-constrained unit commitment (SCUC) problem is a very important issue to be investigated, and is also the focus of this paper.Specifically, a scenario-based robust security constrained unit commitment (RSCUC) model is first presented, and the RSCUC strategy such attained meet a given confidence level, while for some extreme scenarios beyond the confidence interval wind power abandoning or load shedding will have to be employed.In this way, a reasonable tradeoff between operating economics and conservatism can be implemented.The proposed model is next solved by the well-established Benders decomposition through decomposing the original problem into a master problem for deterministic unit commitment (UC) and a sub-problem for feasibility checking.Feasibility cuts are generated and fed back to the master problem for the next round of iterations if the strategy attained from the master problem cannot pass through the feasibility checking.Finally, the basic features of the proposed method are demonstrated by a modified IEEE 39-bus system.关键词
电力系统/风力发电/安全约束机组最优组合/鲁棒优化/置信度/Benders分解Key words
power system/wind power/security constrained unit commitment/robust optimization/confidence level/Benders decomposition分类
信息技术与安全科学引用本文复制引用
钱峰,冯昌森,文福拴,李力,谭嫣,梁永清..计及安全约束的机组最优组合鲁棒优化方法[J].电力建设,2017,38(4):18-25,8.基金项目
国家高技术研究发展计划项目 (863计划) (2015AA050202) （863计划）
国家自然科学基金项目(51477151) （51477151）
广东电网有限责任公司科技项目(GDKJQQ20153001) （GDKJQQ20153001）
Project supported by National High Technology Research and Development Program of China(863 Program) (2015AA050202) （863 Program）
National Natural Science Foundation of China (51477151) （51477151）
Guangdong Power Grid Co., Ltd.Program (GDKJQQ20153001) （GDKJQQ20153001）
