引用本文:鲍海波,郭小璇.考虑新能源发电不确定性的静态电压稳定故障筛选与排序方法[J].电力自动化设备,2019,39(7):
BAO Haibo,GUO Xiaoxuan.Fault screening and ranking method of static voltage stability considering uncertainty of renewable energy power generation[J].Electric Power Automation Equipment,2019,39(7):
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考虑新能源发电不确定性的静态电压稳定故障筛选与排序方法
鲍海波1, 郭小璇2
1.广西电网 南宁供电局,广西 南宁 530031;2.广西电网 电力科学研究院,广西 南宁 530023
摘要:
为了有效地分析电力系统设备故障和新能源发电不确定性对系统静态电压稳定的影响,提出了一种考虑新能源发电不确定性的静态电压稳定故障筛选与排序方法。假设各新能源发电出力为均值,建立N-1故障场景下确定性的电压稳定临界点模型,根据所得的故障后负荷裕度筛选得到严重故障集。考虑风电和光伏发电的随机分布,建立故障场景下的电压稳定概率评估模型,采用随机响应面法求解获得故障场景的负荷裕度累积概率分布。根据负荷裕度累积概率分布,设计了2种故障后系统电压稳定性的排序指标,确定严重故障集的排序。IEEE 118节点标准系统的计算结果表明,所提故障筛选与排序方法是有效的,可以甄别和排序各故障场景下系统的概率静态电压稳定性;根据故障排序结果构建的电力系统概率电压稳定域有助于对概率稳定边界的分析和研究。
关键词:  新能源发电  静态电压稳定  负荷裕度  故障筛选与排序  随机响应面法  不确定性
DOI:10.16081/j.issn.1006-6047.2019.07.009
分类号:TM712
基金项目:南方电网公司重点科技项目(GXKJXM20170522)
Fault screening and ranking method of static voltage stability considering uncertainty of renewable energy power generation
BAO Haibo1, GUO Xiaoxuan2
1.Nanning Power Supply Bureau, Guangxi Power Grid Corporation, Nanning 530031, China;2.Electric Power Research Institute, Guangxi Power Grid Corporation, Nanning 530023, China
Abstract:
In order to effectively analyze the influence of power system equipment failures and uncertainty of renewable energy power generation on static voltage stability, a fault screening and ranking method of static voltage stability considering uncertainty of renewable energy power generation is proposed. Assuming the average output of each renewable energy power generation, the deterministic voltage stability critical point model under N-1 fault scenario is established, and the critical fault set is screened based on the obtained load margin after fault. The voltage stability probability evaluation model under fault scenario is established considering the random distribution of wind power and photovoltaic power generation, and the cumulative probability distribution of load margin under fault scenario is solved by the stochastic response surface method, based on which, two voltage stability ranking indexes are designed to determine the ranking of critical fault sets. Calculative results of the standard IEEE 118-bus system show that, the proposed fault screening and ranking method is effective, and the static voltage stability probability under each fault scenario can be screened and sorted. The probabilistic voltage stability domain of power system, which is established on the basis of the fault ranking result, is conducive to the analysis and study of probability stable boundary.
Key words:  renewable energy power generation  static voltage stability  load margin  fault screening and ranking  stochastic response surface method  uncertainties

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