{"title":"基于改进二值花授粉算法的电力系统状态估计PMU优化配置","authors":"Suresh Babu Palepu, M. D. Reddy","doi":"10.1109/RTEICT52294.2021.9573518","DOIUrl":null,"url":null,"abstract":"The phasor measurement unit (PMU) is an essential measuring device in current power systems. The advantage seems to be that the measuring system could simultaneously give voltages and currents phasor readings from widely dispersed locations in the electric power grid for state estimation and fault detection. Simulations and field experiences recommend that PMUs can reform the manner power systems are monitored and controlled. However, it is felt that expenses will limit the number of PMUs put into any power system. This paper realizes the PMU placement based on an improved binary flower pollination algorithm (IBFPA). Under various contingency circumstances, the presented algorithms will enable optimized PMU placement with full network observability. The results of the IEEE 14, 24, 30, 39, 57, and 118 bus systems demonstrate that the proposed strategy lowered the number of PMUs utilized effectively.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal PMU Placement for Power System State Estimation Using Improved Binary Flower Pollination Algorithm\",\"authors\":\"Suresh Babu Palepu, M. D. Reddy\",\"doi\":\"10.1109/RTEICT52294.2021.9573518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The phasor measurement unit (PMU) is an essential measuring device in current power systems. The advantage seems to be that the measuring system could simultaneously give voltages and currents phasor readings from widely dispersed locations in the electric power grid for state estimation and fault detection. Simulations and field experiences recommend that PMUs can reform the manner power systems are monitored and controlled. However, it is felt that expenses will limit the number of PMUs put into any power system. This paper realizes the PMU placement based on an improved binary flower pollination algorithm (IBFPA). Under various contingency circumstances, the presented algorithms will enable optimized PMU placement with full network observability. The results of the IEEE 14, 24, 30, 39, 57, and 118 bus systems demonstrate that the proposed strategy lowered the number of PMUs utilized effectively.\",\"PeriodicalId\":191410,\"journal\":{\"name\":\"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTEICT52294.2021.9573518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT52294.2021.9573518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal PMU Placement for Power System State Estimation Using Improved Binary Flower Pollination Algorithm
The phasor measurement unit (PMU) is an essential measuring device in current power systems. The advantage seems to be that the measuring system could simultaneously give voltages and currents phasor readings from widely dispersed locations in the electric power grid for state estimation and fault detection. Simulations and field experiences recommend that PMUs can reform the manner power systems are monitored and controlled. However, it is felt that expenses will limit the number of PMUs put into any power system. This paper realizes the PMU placement based on an improved binary flower pollination algorithm (IBFPA). Under various contingency circumstances, the presented algorithms will enable optimized PMU placement with full network observability. The results of the IEEE 14, 24, 30, 39, 57, and 118 bus systems demonstrate that the proposed strategy lowered the number of PMUs utilized effectively.