• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2018, Vol. 39 ›› Issue (5): 10-.doi: 10.3969/j.issn.1000-7229.2018.05.002

• 智能电网 • 上一篇    下一篇

 基于广域测量信息的电力系统故障诊断解析模型 

 张岩1,2, 文福拴2, 熊文3, 牛振勇3, 赵宏伟3, 尚慧玉3 

 
  

  1.  (1. 国网能源研究院有限公司, 北京市 102209;2. 浙江大学电气工程学院, 杭州市 310027;3. 广州供电局有限公司,广州市 510620)  
     
  • 出版日期:2018-05-01
  • 作者简介:张岩(1990),男,博士,工程师,主要研究方向为电力系统故障诊断和警报处理; 文福拴 (1965),男,博士, 教授,博士生导师,通信作者,主要研究方向为电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车; 熊文(1973),男,硕士,高级工程师,主要研究方向为电力系统运行与控制; 牛振勇(1978),男,硕士,高级工程师,主要研究方向为电力系统运行与控制; 赵宏伟(1981),男,硕士,高级工程师,主要研究方向为电力系统运行与控制; 尚慧玉(1982), 女,硕士,工程师,主要研究方向为电力系统运行与控制。
  • 基金资助:
    国家重点研发计划(2017YFB0902900);南方电网公司重点科技项目(GZHKJXM20160035) 
     

 Wide Area Measurements Based Analytic Model for Power System Fault Diagnosis 

 ZHANG Yan1,2, WEN Fushuan2, XIONG Wen3, NIU Zhenyong3,  ZHAO Hongwei3, SHANG Huiyu3 

 
  

  1. 1. State Grid Energy Research Institute, Beijing 102209, China;2. School of Electrical Engineering,  Zhejiang University, Hangzhou 310027, China;3. Guangzhou Power Supply Co., Ltd., Guangzhou 510620, China
     
  • Online:2018-05-01
  • Supported by:
        This work is jointly supported by National Key Research and Development Program of China (No.2017YFB0902900) and China Southern Power Grid Key Project (No. GZHKJXM20160035). 
     

摘要:  摘要:现有的电力系统故障诊断方法通常只采用继电保护装置(protective relay,PR)和断路器(circuit breaker,CB)的状态信息作为判据,信息裕度较低,这样对于复杂故障情形就可能得到不准确的甚至错误的故障诊断结果。相量测量单元(phasor measurement unit,PMU)的大范围普及使得同步相量数据的实时获取成为可能。在此背景下,文章提出一种基于保护设备状态信息和相量信息的电力系统故障诊断的改进解析模型。首先,基于断路器状态量和相量数据等多源信息快速判定故障区域;之后,采用所提出的改进解析模型针对故障区域内所包含的元件进行故障诊断。文章还提出了基于相量信息的故障诊断判据,并对传统判据进行了改进,以增强所提出的故障诊断方法的容错性和适应能力。最后,采用IEEE 39节点系统对所提出的故障诊断改进解析模型进行测试,以验证其正确性和高容错能力。仿真结果表明,通过将相量数据引入故障判据,所提出的故障诊断方法可以在保护装置故障或故障报警信息失真的情况下对复杂故障进行准确诊断。 

 

关键词:  关键词:故障诊断, 解析模型, 相量数据, 相量测量单元(PMU) 

Abstract:  ABSTRACT: Existing methods for power system fault diagnosis generally employ status information of protective relays (PRs) and circuit breakers (CBs) as the only input, leading to a lack of information redundancy. As a result, ambiguous and even false diagnosis results may be obtained for complicated fault scenarios. With wide deployment of phasor measurement units (PMUs), real-time synchronized phasor data become available. In this background, an enhanced analytic model is proposed using both status information and phasor data. First, the outage areas are effectively identified by utilizing the combined data of CB statuses and phasor data. Next, the fault diagnosis is carried out for the identified outage areas using the proposed method. New diagnostic criteria based on phasor data are presented, and the traditional ones are modified, so as to enhance fault tolerance and adaptability. Finally, testing results on the IEEE 39-bus system demonstrate the feasibility and high fault tolerance capacity of the developed model. Simulation results show that after incorporating the phase data, the proposed method can tackle complicated fault scenarios with protective device malfunctions and alarms distortions. 

 

Key words:  fault diagnosis, analytic model, phasor data, phasor measurement unit (PMU) ,  

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