摘要
近年来,极端事件与风电出力的不确定性给电力系统的安全运行带来了严峻挑战。文中提出一种考虑极端事件并以风电不确定性为导向的自适应鲁棒优化模型以增强电力系统的韧性能力。首先,考虑风电出力不确定性以构建自适应鲁棒多面体不确定性集合。其次,考虑极端事件对电力系统的威胁,提出了防御-攻击-防御框架下风电出力不确定性的电力系统韧性增强模型。最后,该模型在IEEE RTS-79和IEEE RTS-96测试系统上进行仿真验证,并采用列与约束生成算法进行求解,仿真结果验证了所提模型及求解方法的有效性。
In recent years,extreme events and uncertainty of wind power generation have brought serious challenges to the security operation of power systems.This paper proposes an adaptive robust optimization model to enhance the resilience of the power system considering wind power generation uncertainty under extreme events.Firstly,an adaptive robust polyhedral uncertainty set is constructed by considering the wind power generation uncertainty.Secondly,considering the threat of extreme events to the power system,a resilience enhancement model of power system considering wind power output uncertainty in the defense-attack-defense framework is proposed.Finally,the model is simulated and verified on the IEEE RTS-79 and IEEE RTS-96 test systems,which is solved by the column-and-constraint generation(C&CG)algorithm.The simulation results fully verified the effectiveness of the proposed model and solution method.
作者
杜敏
刘绚
周元刚
DU Min;LIU Xuan;ZHOU Yuangang(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第12期19-27,共9页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51777062)。
关键词
韧性
可再生能源
电力系统
极端事件
不确定性集
列与约束生成算法
resilience
renewable energy
power system
extreme event
uncertainty set
column-and-constraint generation(C&
CG)algorithm
