| 引用本文: | 徐长宝,王玉磊,赵立进,高吉普,黄良,应黎明.基于信息趋势预测和组合赋权的智能变电站继电保护系统状态模糊综合评价[J].电力自动化设备,2018,(1): |
| XU Changbao,WANG Yulei,ZHAO Lijin,GAO Jipu,HUANG Liang,YING Liming.Fuzzy comprehensive evaluation of intelligent substation relay protection system state based on information trend prediction and combination weighting[J].Electric Power Automation Equipment,2018,(1): |
|
| 摘要: |
| 智能变电站建设为二次设备实时信息的获取提供了条件，准确了解继电保护系统的状态对提高供电可靠性具有重要作用。根据智能变电站的信息流向和设备功能建立基于实时自检信息和关键历史信息的状态评价信息模型，考虑传统状态评价方法对系统状态的评估具有滞后性，提出基于信息趋势预测的惩罚修正策略，根据趋势预测的结果选取岭形模糊隶属度函数进行模糊处理；采用层次分析法和反熵权法结合的组合赋权方法进行权重设定，克服了传统熵权法灵敏度太高的缺陷。将所提方法与传统方法进行对比验证，仿真结果表明所提方法可以有效地提高状态评价结果的准确性和及时性。 |
| 关键词: 智能变电站 继电保护 信息趋势预测 组合赋权 反熵权法 状态评价 模糊综合评价 |
| DOI：10.16081/j.issn.1006-6047.2018.01.024 |
| 分类号:TM77 |
| 基金项目:中国南方电网有限责任公司重点科技项目(GZ2014-2-0049) |
|
| Fuzzy comprehensive evaluation of intelligent substation relay protection system state based on information trend prediction and combination weighting |
|
XU Changbao1, WANG Yulei2,3, ZHAO Lijin1, GAO Jipu1, HUANG Liang1, YING Liming2
|
|
1.Electric Power Science Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550000, China;2.School of Electrical Engineering, Wuhan University, Wuhan 430072, China;3.State Grid Qingdao Power Supply Company, Qingdao 266002, China
|
| Abstract: |
| The construction of intelligent substation provides conditions for the acquisition of real-time information of the secondary equipment. Accurate understanding of the state of relay protection system plays an important role in improving the reliability of power supply. According to the information flow and equipment functions of intelligent substation, the state evaluation information model based on real-time self-checking information and key historical information is established. Taking the hysteresis quality of traditional state evaluation method on the system’s state into account, the correction strategy based on information trend prediction is proposed. Mountain shaped fuzzy subordinate function is selected for fuzzy processing according to trend prediction results. The weights are set by combination weighting method combining with the analytic hierarchy process method and anti-entropy weighting method, which overcomes the too-high sensitivity of traditional entropy weighting method. Compared with the traditional method, simulative results show that the proposed method can improve the accuracy and timeliness of state evaluation results effectively. |
| Key words: intelligent substation relay protection information trend prediction combination weighting anti-entropy weighting method state evaluation fuzzy comprehensive evaluation |
