Muhamad Hazrirrahman Wakti, S. P. Hadi, L. M. Putranto
{"title":"安装PMU以提高状态估计的准确性","authors":"Muhamad Hazrirrahman Wakti, S. P. Hadi, L. M. Putranto","doi":"10.1109/ICITEED.2019.8929976","DOIUrl":null,"url":null,"abstract":"State estimation provides state information that subsequently is used in the supervisory control and data acquisition (SCADA) application function including load forecasting, optimal power flow, automatic generation control and security analysis. So, it is necessary to pay attention in the accuracy of state estimation. However, today most of power system state estimation is provided by conventional measurement. State estimation by conventional measurement has limitation in terms of accuracy. The limitation due to errors in measuring the measurements quantities, asynchronous measurements, and low in sampling rate of conventional SCADA measurements. Those error can be covered by installing several synchronous PMUs in the power system. In this paper, the power system already had 116 existing conventional measurements. So, that the system state is observable. The disadvantages of conventional measurements is demonstrated by dynamic phenomena of load fluctuation during 30 seconds simulation, and those measurements are asynchronous time stamp. The result shows mean absolute error (MAE) of the simulated system is between 10% to 12%. Then by adding several PMUs in buses (1,10,12,28). The MAE of the simulated system decreased is between 0.004% to 0.05%.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"52 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PMU Installation to Increase The Accuracy of State Estimation\",\"authors\":\"Muhamad Hazrirrahman Wakti, S. P. Hadi, L. M. Putranto\",\"doi\":\"10.1109/ICITEED.2019.8929976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"State estimation provides state information that subsequently is used in the supervisory control and data acquisition (SCADA) application function including load forecasting, optimal power flow, automatic generation control and security analysis. So, it is necessary to pay attention in the accuracy of state estimation. However, today most of power system state estimation is provided by conventional measurement. State estimation by conventional measurement has limitation in terms of accuracy. The limitation due to errors in measuring the measurements quantities, asynchronous measurements, and low in sampling rate of conventional SCADA measurements. Those error can be covered by installing several synchronous PMUs in the power system. In this paper, the power system already had 116 existing conventional measurements. So, that the system state is observable. The disadvantages of conventional measurements is demonstrated by dynamic phenomena of load fluctuation during 30 seconds simulation, and those measurements are asynchronous time stamp. The result shows mean absolute error (MAE) of the simulated system is between 10% to 12%. Then by adding several PMUs in buses (1,10,12,28). The MAE of the simulated system decreased is between 0.004% to 0.05%.\",\"PeriodicalId\":6598,\"journal\":{\"name\":\"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"52 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2019.8929976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2019.8929976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PMU Installation to Increase The Accuracy of State Estimation
State estimation provides state information that subsequently is used in the supervisory control and data acquisition (SCADA) application function including load forecasting, optimal power flow, automatic generation control and security analysis. So, it is necessary to pay attention in the accuracy of state estimation. However, today most of power system state estimation is provided by conventional measurement. State estimation by conventional measurement has limitation in terms of accuracy. The limitation due to errors in measuring the measurements quantities, asynchronous measurements, and low in sampling rate of conventional SCADA measurements. Those error can be covered by installing several synchronous PMUs in the power system. In this paper, the power system already had 116 existing conventional measurements. So, that the system state is observable. The disadvantages of conventional measurements is demonstrated by dynamic phenomena of load fluctuation during 30 seconds simulation, and those measurements are asynchronous time stamp. The result shows mean absolute error (MAE) of the simulated system is between 10% to 12%. Then by adding several PMUs in buses (1,10,12,28). The MAE of the simulated system decreased is between 0.004% to 0.05%.