摘要
以风电为代表的可再生能源电源会增加电力系统的不确定性。为了实现高比例可再生能源电力系统的状态估计和风险评估,提出一种基于典型场景聚类的高比例风电并网系统线路过载安全风险评估方法。利用K-means算法构建系统典型场景,结合风险理论对线路过载这一风险指标进行评估,表征线路潮流波动和系统状态的变化。IEEE39节点系统验证了所提方法的有效性。结果表明,系统典型场景的变化直接影响到电力系统的运行情况和风险指标。其中,在风电水平较高和负荷水平较低的场景下,系统的风险指标较高。
Renewable energy connecting to the grid increases the uncertainty of power system.In order to realize the risk assessment of power system,a novel method of line overload safety risk assessment under typical operating scenarios for wind power grid-connected system is proposed in this paper.Firstly,K-means algorithm is used to construct typical system scenarios.Furthermore,the risk indicator of line overload is evaluated combined with risk theory,which characterizes thefluctuation of the line powerflow and the change of the system state.Finally,a simulation is carried out to calculate the risk indicators under typical scenarios.The results show that the changes in typical system scenarios directly affect the operation of power system and risk indicators.Among them,in scenarios where the wind power level is higher and the load level is lower,the risk indicators are higher.
作者
陈宇
王震泉
甄宏宁
CHEN Yu;WANG Zhenquan;ZHEN Hongning(China Energy Engineering Group Jiangsu Power Design Institute Co.,Ltd.,Nanjing 211100,China)
出处
《电力勘测设计》
2024年第S01期9-13,共5页
Electric Power Survey & Design
关键词
风电场
线路过载
风险评估
场景聚类
wind farm
line overload
risk assessment
scenario clustering
