基于PEF-PinSVM的含可再生能源并网电力系统电压暂态稳定裕度评估
VOLTAGE TRANSIENT STABILITY MARGIN ASSESSMENT OF GRID CONNECTED POWER SYSTEMS CONTAINING RENEWABLE ENERGY BASED ON PEF-PinSVM
李汐 1高阳 1马斌 1于春雨 2韩冬军 3周强3
作者信息
- 1. 青海省电力公司营销服务中心,西宁 810003
- 2. 青岛理工大学机械与汽车工程学院,青岛 266520
- 3. 烟台东方威思顿电气有限公司,烟台 264003
- 折叠
摘要
为精准掌握含可再生能源并网电力系统电压暂态稳定性,提出一种改进弹球损失支持向量机的评估方法.首先,结合系统特征与投影能量函数指标相关理论建立电力系统暂态稳定裕度的原始特征集,随后借助最大相关最小冗余特征选择法,筛选出衡量并网电力系统电压暂态稳定裕度的特征子集,以表征可再生能源并网对电力系统电压暂态稳定裕度的影响;其次,采用分位数方法将系统划分为稳定类与不稳定类,并将电压暂态稳定裕度分类问题转换为在PEF-PinSVM中寻找最优分位数距离问题,减小可再生能源并网波动性与不确定性对系统电压暂态稳定裕度评估的影响;最后,以IEEE-39节点系统进行算例仿真,发现含可再生能源并网电力系统电压暂态稳定裕度评估准确率会伴随可再生能源渗透率的增加而提升.
Abstract
To accurately grasp the transient stability of voltage in grid connected power systems containing renewable energy,this paper proposes an improved evaluation method based on the support vector machine for ball loss.Firstly,based on the theory of system characteristics and projection energy function indicators,establish the original feature set of power system transient stability margin;Subsequently,using the maximum correlation minimum redundancy feature selection method,a subset of features that measure the transient stability margin of the grid connected power system voltage is selected to characterize the impact of renewable energy grid connection on the transient stability margin of the power system voltage;Thirdly,the quantile method is used to divide the system into stable and unstable classes,and the classification problem of voltage transient stability margin is transformed into the problem of finding the optimal quantile distance in PEF PinSVM,reducing the impact of renewable energy grid connection volatility and uncertainty on the evaluation of system voltage transient stability margin;Finally,using the IEEE39 node system as an example simulation,it is found that the accuracy of voltage transient stability margin assessment in grid connected power systems containing renewable energy is imporved with the increase of renewable energy penetration rate.
关键词
暂态稳定/可再生能源/电力系统/支持向量机/电网Key words
transient stability/renewable energy/electric power system/support vector machine/power grid引用本文复制引用
基金项目
国家电网青海省电力公司科技项目(52280719003P)
出版年
2024
NETL
NSTL
万方数据