配电自动化供电可靠性监测方法研究
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摘要
为了研判配电自动化供电系统的停电原因,评估供电系统的可靠性,需对供电系统的运行过程进行监测。传统监测方法多采用人工监测的方式,过分依赖维护人员自觉性和专业性,导致监测效果较差。为此提出基于贝叶斯网络的配电系统可靠性监测方法。分析配电自动化供电系统的结构,引入分布式电源接入方式,设置时间参数创建配电自动化供电的自愈控制功能,根据该功能对系统运行过程中可能出现的停电问题进行研判。建立由逻辑关系"与"、"或"、"因果"节点模型共同组成系统运行监测的贝叶斯网络模型,并计算系统运行节点的工作概率。设计系统运行监测流程,将不同类型停电故障在不同地点按照其发生时间进行统计,得出停电发生概率,根据前后停电故障区域提供负荷量以及供应负荷的重要指标,获取配电系统运行安全指标。实验结果可知,该方法对供电系统运行监测的最高精度可达到92%,能够有效研判出停电原因,为准确评估供电系统的可靠性提供帮助。
In order to judge the cause of power failure of the distribution automation power supply system and evaluate the reliability of the power supply system,it is necessary to monitor the operation process of the power supply system. Traditional monitoring methods often use manual monitoring methods,relying too much on the consciousness and professionalism of maintenance personnel, resulting in poor monitoring results. To this end,a reliability monitoring method based on Bayesian network is proposed.Analyze the structure of the distribution automation power supply system,introduce the distributed power access mode,set the time parameter to create the self-healing control function of the distribution automation power supply,and judge the power failure problem that may occur during the system operation according to the function. A Bayesian network model consisting of logical operation "and", "or",and "causal" node models is constructed,and the working probability of the system running nodes is calculated. The system operation monitoring process is designed to collect different types of power outage faults according to their occurrence time in different locations,and the probability of power outage is obtained. According to the important indicators of the load and supply load in the front and rear power failure areas,the power distribution system operation safety indicators are obtained. The experimental results show that the highest accuracy of the power supply system operation monitoring can reach 92%,which can effectively determine the cause of power failure and provide assistance for accurately evaluating the reliability of the power supply system.
In order to judge the cause of power failure of the distribution automation power supply system and evaluate the reliability of the power supply system,it is necessary to monitor the operation process of the power supply system. Traditional monitoring methods often use manual monitoring methods,relying too much on the consciousness and professionalism of maintenance personnel, resulting in poor monitoring results. To this end,a reliability monitoring method based on Bayesian network is proposed.Analyze the structure of the distribution automation power supply system,introduce the distributed power access mode,set the time parameter to create the self-healing control function of the distribution automation power supply,and judge the power failure problem that may occur during the system operation according to the function. A Bayesian network model consisting of logical operation "and", "or",and "causal" node models is constructed,and the working probability of the system running nodes is calculated. The system operation monitoring process is designed to collect different types of power outage faults according to their occurrence time in different locations,and the probability of power outage is obtained. According to the important indicators of the load and supply load in the front and rear power failure areas,the power distribution system operation safety indicators are obtained. The experimental results show that the highest accuracy of the power supply system operation monitoring can reach 92%,which can effectively determine the cause of power failure and provide assistance for accurately evaluating the reliability of the power supply system.
引文
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[2]项添春,戚艳,董逸超,等.提高配电网供电可靠性和状态可观性的终端优化配置方法[J].电力系统及其自动化学报,2017,29(6):107-112.
[3]陈东新,武志刚.配电自动化终端布点优化的动态规划研究[J].电力系统保护与控制,2017,45(12):1-8.
[4]王明东,方迪,包宇喆.综合考虑可靠性和经济性的配电终端优化配置研究[J].电测与仪表,2018,55(6):12-18.
[5]慕小斌,王久和,孙凯,等.配电自动化的电能质量集散控制研究[J].电力系统及其自动化学报,2017,29(3):96-103.
[6]张韬,田斌,宗志刚,等.配电自动化规划研究及工程实践[J].中国电力,2017,50(9):44-51.
[7]胡一波,张忠会,何乐彰,等.基于供电可靠性的配电终端模块配置[J].电测与仪表,2016,53(3):124-128.
[8]张红斌,吴志力,葛斐,等.基于SMART准则的配电自动化建设效果评价体系研究[J].电网技术,2016,40(7):2192-2198.
[9]曾强,邓惠华,朱凌,等.考虑多模式配电自动化特征的配电网可靠性评估方法[J].电力系统及其自动化学报,2017,29(1):128-134.
[10]周晶晶,袁越,李振杰,等.计及供电可靠性的配电网节点电价计算方法[J].电力系统自动化,2016,40(7):42-48.
[11]李子韵,成乐祥,王自桢,等.配电自动化终端布局规划方法[J].电网技术,2016,40(4):1271-1276.
[12]赵洪山,赵航宇,侯杰群,等.需求响应对配电网供电可靠性影响分析[J].电力自动化设备,2017,37(1):8-14.
[13]雷敏,魏务卿,曾进辉,等.考虑需求响应的负荷控制对供电可靠性影响分析[J].电力系统自动化,2018,18(10):20-28.
[14]赵渊,吴林,刘庆尧,等.含重合器式馈线自动化的配电网可靠性评估[J].重庆大学学报,2018,16(5):17-23.
[15]杨帅,邹智慧.电网供电负荷均衡自动调度监测仿真研究[J].计算机仿真,2018,15(1):113-116.
[16]张富裕,秦榛.基于单相有载调压器的配电网低压治理方法研究[J].电子设计工程,2018,26(10):189-193.