SG  >> Vol. 5 No. 2 (April 2015)

    基于改进层次模糊评判的智能变电站二次系统状态评估
    Status Assessment of Secondary Equipment for Smart Substation Based on Improved Hierarchical Fuzzy Evaluation

  • 全文下载: PDF(378KB) HTML   XML   PP.78-85   DOI: 10.12677/SG.2015.52010  
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作者:  

熊 伟,张友强,何 燕:国网重庆市电力公司电力科学研究院,重庆 ;
曾星星,欧阳金鑫,熊小伏,曾 勇:输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆

关键词:
智能变电站二次系统状态评估改进层次分析法模糊评判Smart Substation Secondary System Condition Assessment Improved Analytic Hierarchy Process Fuzzy Synthetic Evaluation

摘要:

针对智能变电站各二次设备故障机理复杂、具有不确定性、难以有效评估的问题,提出了基于改进层次分析法和模糊评判理论的智能变电站二次系统综合评估方法。以运行检修规程、测试技术规范为基础,综合考虑运行经验、工作环境和检修记录,建立二次设备状态定量和定性评估指标体系,并根据各指标的相对重要性赋予相应权重;通过半梯形分布函数构建状态指标评分模型,并引入相对劣化度来表征二次设备状态转化程度的隶属函数,进而建立层次模糊评判矩阵;由此,建立基于改进层次模糊评判的智能变电站二次系统状态评估模型。实例分析表明该方法有效可行,为智能变电站二次系统健康状态评估提供了新的思路。

For smart substation secondary equipments’ failure mechanism are complex, uncertain and diffi-cult to be effectively evaluated, a comprehensive evaluation method based on improved analytic hierarchy process and fuzzy synthetic evaluation is proposed in this paper. On the basis of run maintenance procedures and test specification and taking operating experience, work environment and maintenance records into consideration, this paper establishes the quantitative and qualitative state evaluation index system of secondary equipment and gives the corresponding weight according to the relative importance of each indicator. Through building the scoring model of state indicator by the semi-trapezoidal distribution function and introducing the relative deterioration degree to characterize the membership function of secondary equipment status transformation degree and to establish a hierarchical fuzzy evaluation matrix. Thus, a condition assessment model of smart substation secondary system based on improved analytic hierarchy process and fuzzy synthetic evaluation is established. Example analysis shows that this method is effective and feasible and provides a new way for the health assessment of smart substation secondary system.

文章引用:
熊伟, 曾星星, 张友强, 何燕, 欧阳金鑫, 熊小伏, 曾勇. 基于改进层次模糊评判的智能变电站二次系统状态评估[J]. 智能电网, 2015, 5(2): 78-85. http://dx.doi.org/10.12677/SG.2015.52010

参考文献

[1] 潘华君, 许晓峰, 许东, 吴焕 (2014) 基于模糊评判法的智能变电站二次系统状态评估. 沈阳工程学院学报(自然科学版), 2, 143-147.
[2] 王德文, 王艳, 邸剑 (2011) 智能变电站状态监测系统的设计方案. 电力系统自动化, 18, 51-56.
[3] 张晓华, 刘跃新, 刘永欣, 孙嘉, 邱俊宏 (2011) 智能变电站二次设备的状态监测技术研究. 电气技术, 4, 41-44.
[4] 吴杰余, 张哲, 尹项根, 胡文平 (2002) 电气二次设备状态检修研究. 继电器, 2, 22-24.
[5] 刘力丰, 高中德, 刘百震, 曹利安 (1997) 电力系统继电保护设计专家系统的模糊知识处理. 电力系统自动化, 6, 34-37.
[6] 李瑞生, 李燕斌, 周逢权 (2010) 智能变电站功能架构及设计原则. 电力系统保护与控制, 21, 24-27.
[7] 倪益民, 杨宇, 樊陈, 郭艳霞, 窦仁晖, 黄国方 (2014) 智能变电站二次设备集成方案讨论. 电力系统自动化, 3, 194-199.
[8] 廖瑞金, 王谦, 骆思佳, 廖玉祥, 孙才新 (2008) 基于模糊综合评判的电力变压器运行状态评估模型. 电力系统自动化, 3, 70-75.
[9] 卢绪祥, 李录平, 张晓玲, 黄竹青 (2006) 基于相对劣化度模型的大型汽轮机状态综合评价. 动力工程, 4, 507-510.
[10] Jiang, H. and Ruan, J.H. (2009) Fuzzy evaluation on network security based on the new algorithm of membership degree transformation-M(1, 2, 3). Journal of Networks, 4, 324-331.
[11] Song, Z.Y., Zhu, H.Q., Jia, G.W. and He, C.N. (2014) Comprehensive evaluation on self-ignition risks of coal stockpiles using fuzzy AHP approaches. Journal of Loss Prevention in the Process Industries, 32, 78-94.
[12] Zhang, J.C. (2012) The theory of membership degree of conclusion in several n-valued logic systems. American Journal of Operations Research, 2, 147-152.
[13] 段若晨, 王丰华, 顾承昱, 满玉岩, 傅正财, 刘亚东 (2014) 采用改进层次分析法综合评估 500 kV 输电线路防雷改造效果. 高电压技术, 1, 131-137.
[14] Zhang, Y., Zhang, H., Gao, X., et al. (2007) Improved AHP method and its application in lake environmental comprehensive quality evaluation—A case study of Xuanwu Lake, Nanjing, China. Chinese Journal of Oceanology and Limnology, 25, 427-433.
[15] (2010) Q/GDW441-2010智能变电站继电保护技术规范.
[16] (2010) Q/GDW428-2010智能变电站智能终端技术规范.
[17] (2010) Q/GDW427-2010智能变电站测控单元技术规范.
[18] (2010) Q/GDW429-2010智能变电站网络交换机技术规范.
[19] 袁宇波, 高磊, 卜强生, 宋亮亮, 等 (2013) 智能变电站集成测试技术与应用. 中国电力出版社, 北京.
[20] 何建军, 徐瑞林, 陈涛 (2012) 智能变电站系统测试技术. 中国电力出版社, 北京.