Muhamad Hazrirrahman Wakti, Lesnanto Multa Putranto, S. P. Hadi, Muhammad Yasirroni, Akmalazakia Fatan Derana Marsiano
{"title":"PMU Location Determination in a Hybrid PMU-SCADA System","authors":"Muhamad Hazrirrahman Wakti, Lesnanto Multa Putranto, S. P. Hadi, Muhammad Yasirroni, Akmalazakia Fatan Derana Marsiano","doi":"10.1109/ICITEE49829.2020.9271728","DOIUrl":null,"url":null,"abstract":"The accurate real-time state estimation is needed to perform real-time monitoring and control. However, the current power system uses SCADA technology as a tool for monitoring and control. SCADA existing measurement device has a few disadvantages: low accuracy, low sampling rate in measuring the measurements data, and asynchronous measurements between instrument. Due to those disadvantages, state estimation resulted has low accuracy, and not in real-time. These disadvantages can be minimized by installing several phasor measurement unit (PMU). IEEE-30 bus test system is applied to simulate the proposed technique. The result shows, the required PMU should be installed in power system that already has 116 conventional SCADA measurements is 6. The location of these PMUs are in buses 2, 10, 12, 15, 25, and 27. That result is achieved in 320 iteration of genetic algorithm (GA). In this paper, mean absolute error (MAE) is used to asses the state estimation accuracy. The value of $\\overline {MAE} $ system with PMU is 7.20718X10−6. While, the value of $\\overline {MAE} $ system without PMU is 0.110162054.","PeriodicalId":245013,"journal":{"name":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEE49829.2020.9271728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The accurate real-time state estimation is needed to perform real-time monitoring and control. However, the current power system uses SCADA technology as a tool for monitoring and control. SCADA existing measurement device has a few disadvantages: low accuracy, low sampling rate in measuring the measurements data, and asynchronous measurements between instrument. Due to those disadvantages, state estimation resulted has low accuracy, and not in real-time. These disadvantages can be minimized by installing several phasor measurement unit (PMU). IEEE-30 bus test system is applied to simulate the proposed technique. The result shows, the required PMU should be installed in power system that already has 116 conventional SCADA measurements is 6. The location of these PMUs are in buses 2, 10, 12, 15, 25, and 27. That result is achieved in 320 iteration of genetic algorithm (GA). In this paper, mean absolute error (MAE) is used to asses the state estimation accuracy. The value of $\overline {MAE} $ system with PMU is 7.20718X10−6. While, the value of $\overline {MAE} $ system without PMU is 0.110162054.
为了实现实时监测和控制,需要精确的实时状态估计。然而,目前的电力系统大多采用SCADA技术作为监控工具。现有的SCADA测量设备存在精度低、测量数据采样率低、仪器间测量不同步等缺点。由于这些缺点,所得到的状态估计精度较低,且不具有实时性。这些缺点可以通过安装几个相量测量单元(PMU)来最小化。采用IEEE-30总线测试系统对该技术进行了仿真。结果表明,所需的PMU应安装在已具有116个常规SCADA测量值的电力系统中。这些pmu的位置在总线2、10、12、15、25和27。该结果是在遗传算法(GA)的320次迭代中获得的。本文采用平均绝对误差(MAE)来评估状态估计的精度。$\overline {MAE} $ system with PMU的值为7.20718X10−6。没有PMU的$\overline {MAE} $ system的值为0.110162054。