Noor Aliff Nazmi Bin Noor Azhar, H. Mohamad, N. A. Salim, Zuhaila Mat Yasin
{"title":"基于N-1应急分析的电力系统可靠性DG优化配置","authors":"Noor Aliff Nazmi Bin Noor Azhar, H. Mohamad, N. A. Salim, Zuhaila Mat Yasin","doi":"10.1109/SCOReD53546.2021.9652699","DOIUrl":null,"url":null,"abstract":"Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"16 1","pages":"174-179"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis\",\"authors\":\"Noor Aliff Nazmi Bin Noor Azhar, H. Mohamad, N. A. Salim, Zuhaila Mat Yasin\",\"doi\":\"10.1109/SCOReD53546.2021.9652699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.\",\"PeriodicalId\":6762,\"journal\":{\"name\":\"2021 IEEE 19th Student Conference on Research and Development (SCOReD)\",\"volume\":\"16 1\",\"pages\":\"174-179\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 19th Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCOReD53546.2021.9652699\",\"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 IEEE 19th Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCOReD53546.2021.9652699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis
Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.