基于全维度的电力变压器智能决策支持系统研究
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摘要
在对现有变压器信息系统的研究分析基础上,提出了变压器全维度决策体系,实现了变压器多源异构数据的接入、整合和高级分析的功能,涉及变压器的状态评价、故障诊断、风险评估、寿命预测和检修决策分析模块,能够为变压器全寿期内工作开展提供必要的理论指导,并通过分布式物理架构和智能代理技术对系统进行了设计与实现,构建了变压器全维度智能决策支持系统。通过实例验证表明,该系统的模型分析结果与现场实际相符,分析结果具有合理性和准确性,具备辅助用户进行检修决策的能力,是变压器状态检修工作开展的有力支撑。
Based on the in-depth study of existing transformer equipment information systems,this paper proposes a transformer full dimension decision method,which realizes the data access,integration and advanced analysis of multi-source heterogeneous data of transformer,and involves analytical models of transformer state assessment,fault diagnosis,risk assessment,life prediction and maintenance decision. This method can provide theoretical guidance for the transformer in its full life cycle. Moreover,this paper constructs a transformer full dimension intelligent decision support system based on the proposed method through the distributed physical architecture and intelligent agent technology. The proposed system has been applied successfully. The result indicates that the system can reflect the current state of a transformer. Meanwhile,the system can provide the grid manager with theoretical guide in seeking maintenance decision strategy.
Based on the in-depth study of existing transformer equipment information systems,this paper proposes a transformer full dimension decision method,which realizes the data access,integration and advanced analysis of multi-source heterogeneous data of transformer,and involves analytical models of transformer state assessment,fault diagnosis,risk assessment,life prediction and maintenance decision. This method can provide theoretical guidance for the transformer in its full life cycle. Moreover,this paper constructs a transformer full dimension intelligent decision support system based on the proposed method through the distributed physical architecture and intelligent agent technology. The proposed system has been applied successfully. The result indicates that the system can reflect the current state of a transformer. Meanwhile,the system can provide the grid manager with theoretical guide in seeking maintenance decision strategy.
引文
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[14]周恒俊,郭创新.面向智能配网的能量管理系统体系结构[J].高电压技术,2010,36(8):2088-2094.Zhou Hengjun,Guo Chuangxin.Architecture of Energy Management System Faced Smart Distribution Grid[J].High Voltage Engineering,2010,36(8):2088-2094.
[15]李振兴,尹项根,张哲,等.基于多Agent的广域保护系统体系研究[J].电力系统保护与控制,2012,40(4):71-75.Li Zhenxing,Yin Xianggen,Zhang Zhe,et al.Hierarchy of wide area protection system based on multi-agent[J].Power System Protection and Control,2012,40(4):71-75.
[2]潘乐真,鲁国起,张焰,等.基于风险综合评判的设备状态检修决策优化[J].电力系统自动化,2010,34(11):28-32,66.Pan Lezhen,Lu Guoqi,Zhang Yan,et al.Decision-making Optimization of Equipment Condition-based Maintenance According to Risk Comprehensive Evaluation[J].Automation of Electric Power Systems,2010,34(11):28-32,66.
[3]姜学蕾,张波,韩学山.基于模糊马尔科夫过程的电力设备状态维修优化[J].山东大学学报(工学版),2014,44(4):90-94.Jiang Xuelei,Zhang Bo,Han Xueshan.Condition-based maintenance optimization for power equipment based on fuzzy Markov processes[J].Journal of Shandong University(Engineering Science),2014,44(4):90-94.
[4]敖蕾蕾,王慧芳,张弛,等.基于D-S证据理论的输变电设备状态检修多目标群决策[J].电网技术,2014,38(6):1627-1633.Ao Leilei,Wang Huifang,Zhang Chi,et al.Multi-Objective and Group Decision-Making Research Based on D-S Evidence Theory in ConditionBased Maintenance for Transmission and Transformation Equipment[J].Power System Technology,2014,38(6):1627-1633.
[5]卞建鹏,孙晓云,杨苏,等.基于云模型的电力变压器风险评估及检修策略制定[J].高电压技术,2015,41(10):3342-3347.Bian Jianpeng,Sun Xiaoyun,Yang Su,et al.Risk Assessment and Working-out of Maintenance Strategy for Power Transformer Based on Cloud Model[J].High Voltage Engineering,2015,41(10):3342-3347.
[6]朱伟剑,金娜,闫贻鹏.基于三角模糊数层次分析的变压器状态检修决策方法[J].华东电力,2014,42(4):725-729.Zhu Weijian,Jin Na,Yan Yipeng.Condition-based transformer maintenance decision based on triangular fuzzy number analytic hierarchy process[J].East China Electric Power,2014,42(4):725-729.
[7]赵小霞,苑津莎,刘磊,等.基于CBR与RBR变压器检修策略专家系统设计[J].电子科技,2012,25(7):31-34.Zhao Xiaoxia,Yuan Jinsha,Liu Lei,et al.Transformer Maintenance Strategy Expert System Based on CBR And RBR[J].Electronic Science and Technology,2012,25(7):31-34.
[8]梁海峰,张静,李怀科,等.基于PSO-GA混合算法的配电变压器检修优化[J].南方电网技术,2014,8(5):88-92.Liang Haifeng,Zhang Jing,Li Huaike,et al.PSO-GA Hybrid Algorithm Based Maintenance Optimization for Power Distribution Transformer[J].Southern Power System Technology,2014,8(5):88-92.
[9]许湘莲,郭江,黄辉,等.基于MAS的电厂优化检修决策支持系统研究与实现[J].武汉大学学报(工学版),2007,40(4):94-99.Xu xianlian,Guo Jiang,Huang Hui,et al.MAS based optimal maintenance decision supported system for power plants[J].Engineering Journal of Wuhan University,2007,40(4):94-99.
[10]李效珍,胡春梅,司马莉萍.基于多智能体的电力变压器状态检修辅助决策系统[J].中国农村水利水电,2012,(7):160-163.Li Xiaozhen,Hu Chunmei,Sima Liping.Assistant Devision System of Condition-based Maintenance for Power Transformer Base on Multi-agent[J].China Rural Water and Hydropower,2012,(7):160-163.
[11]李洋,蔡志远,刘海涛,等.广域分布式电源运营管控系统[J].电力自动化设备,2018,38(3):102-108.Li Yang,Cai Zhiyuan,Liu Haitao,et al.Management and control system of wide-area distributed generation[J].Electric Power Automation Equipment,2018,38(3):102-108.
[12]王磊,陈青,高洪雨,等.基于大数据挖掘技术的智能变电站故障追踪架构[J].电力系统自动化,2018,42(3):84-91.Wang Lei,Chen Qing,Gao Hongyu,et al.Framework of Fault Trace for Smart Substation Based on Big Data Mining Technology[J].Automation of Electric Power Systems,2018,42(3):84-91.
[13]郭江,曾洪涛,李朝晖.水电厂维护分布式协同决策支持系统研究[J].中国电机工程学报,2005,25(15):127-132.Guo Jiang,Zeng Hongtao,Li Zhaohui.Maintenance Oriented Distributed Cooperative Decision Supported System for Hydropower Plant[J].Proceedings of the CSEE,2005,25(15):127-132.
[14]周恒俊,郭创新.面向智能配网的能量管理系统体系结构[J].高电压技术,2010,36(8):2088-2094.Zhou Hengjun,Guo Chuangxin.Architecture of Energy Management System Faced Smart Distribution Grid[J].High Voltage Engineering,2010,36(8):2088-2094.
[15]李振兴,尹项根,张哲,等.基于多Agent的广域保护系统体系研究[J].电力系统保护与控制,2012,40(4):71-75.Li Zhenxing,Yin Xianggen,Zhang Zhe,et al.Hierarchy of wide area protection system based on multi-agent[J].Power System Protection and Control,2012,40(4):71-75.