引用本文:林勇,徐钦炜,张俊强,等.基于ECP的轨道交通直流牵引供电系统开关状态评价算法[J].电力系统保护与控制,2018,46(5):16-24.
LIN Yong,XU Qinwei,ZHANG Junqiang,et al.Status evaluation algorithm of DC traction power supply system switchgear based on ECP for rail transit[J].Power System Protection and Control,2018,46(5):16-24
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基于ECP的轨道交通直流牵引供电系统开关状态评价算法
林勇1,徐钦炜1,张俊强2,程乐峰3,吴子杰3,余 涛3
(1.广州地铁集团公司,广东 广州 510330; 2.广州白云电器设备股份有限公司,广东 广州 510460; 3.华南理工大学电力学院,广东 广州 510640)
摘要:
建立1500 V直流开关柜状态评价模型对地铁的安全运行具有重要意义。为此,依据DC1500 V直流开关柜运行原理及其运行过程中体现的指标量,以断路器信息为主,结合配件信息和柜体信息,建立其状态评价指标体系,对直流开关柜功能状态进行综合评价。状态评价算法以熵-突变级数(Entropy-Catastrophe Progression, ECP)法为基础,以信息熵取代主观权重,避免了评价过程中主观因素的干扰,使得设备信息能更直接地影响评价过程,并依据云模型进行指标模糊化,充分考虑了指标量的随机性和模糊性。状态评估模型充分考虑了影响直流开关柜运行状态的各种因素,通过信息熵能客观反映实际情况,并能在指标缺失的情况下给出合理评价。应用开关柜实际运行数据进行实例分析,验证了所提出的状态评价算法的有效性和可行性。
关键词:  开关柜  可靠性  状态评价  熵-突变级数法  轨道交通  直流牵引供电系统
DOI:10.7667/PSPC170241
分类号:
基金项目:国家自然科学基金项目(51477055,51777078);中国南方电网科技项目([2015]000303ZB00002)
Status evaluation algorithm of DC traction power supply system switchgear based on ECP for rail transit
LIN Yong1,XU Qinwei1,ZHANG Junqiang2,CHENG Lefeng3,WU Zijie3,YU Tao3
(1. Guangzhou Metro Co., Ltd., Guangzhou 510330, China;2. Guangzhou Baiyun Electric Stock Co., Ltd., Guangzhou 510460, China;3. College of Electric Power, South China University of Technology, Guangzhou 510640, China)
Abstract:
It’s of great significance to establish 1500 V DC switchgear (DCS) status evaluation model for the safe operation of the subway. According to the operation principle of 1500 V DCS and the indexes in its operation process, using circuit breaker information mainly, and combining with the information of accessories and cabinets, this paper establishes a status evaluation index system of 1500V DCS, which is used to make a comprehensive assessment of the function for DCS. The entropy-catastrophe progression based status evaluation algorithm replaces the subjective weight with information entropy, which avoids the interference of the subjective factors in the evaluation process and makes the equipment information more directly influence the evaluation process. It conducts index fuzzification according to the cloud model and fully considers the randomness and fuzziness of indexes. The status evaluation model also fully considers various factors that affect the operation status of DCS. The information entropy can objectively reflect the actual status of DCS, and a reasonable evaluation is given in the absence of indexes. A case study is given to validate the effectiveness and feasibility of the proposed algorithm by using the actual operation data of DCS. This work is supported by National Natural Science Foundation of China (No. 51477055 and No. 51777078) and Science and Technology Project of China Southern Power Grid (No. [2015]000303ZB00002).
Key words:  switchgear  reliability  status evaluation  entropy-catastrophe progression method  rail transit  DC traction power supply system
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