{"title":"基于PTDF的电力系统聚合方案评估","authors":"Y. Gebrekiros, G. Doorman, T. Preda, A. Helseth","doi":"10.1109/EPEC.2015.7379976","DOIUrl":null,"url":null,"abstract":"Power flow computations are essential for many types of power system analyses. In order to reduce computation time and reflect actual power market operation, network aggregation principles are often used. In this work we discuss network aggregation based on power transfer distribution factors (PTDF), by testing three different aggregation schemes. We analyze the performance of the three schemes comparing their solutions with the results obtained from a DC optimal power flow (DCOPF) performed on the non-aggregated system. The performance is evaluated on the IEEE 30-bus test system using three indicators; power generation, inter-zonal flows, and total system costs. To account for wind and load forecast uncertainty, we consider a modified IEEE 30-bus system proposed to address massive wind integration. The case study results show that the choice of weighting scheme significantly impacts the results. In particular, the PTDF aggregation schemes based on nodal injections (production minus demand) and production outperform the pro-rata aggregation scheme.","PeriodicalId":231255,"journal":{"name":"2015 IEEE Electrical Power and Energy Conference (EPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Assessment of PTDF based power system aggregation schemes\",\"authors\":\"Y. Gebrekiros, G. Doorman, T. Preda, A. Helseth\",\"doi\":\"10.1109/EPEC.2015.7379976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power flow computations are essential for many types of power system analyses. In order to reduce computation time and reflect actual power market operation, network aggregation principles are often used. In this work we discuss network aggregation based on power transfer distribution factors (PTDF), by testing three different aggregation schemes. We analyze the performance of the three schemes comparing their solutions with the results obtained from a DC optimal power flow (DCOPF) performed on the non-aggregated system. The performance is evaluated on the IEEE 30-bus test system using three indicators; power generation, inter-zonal flows, and total system costs. To account for wind and load forecast uncertainty, we consider a modified IEEE 30-bus system proposed to address massive wind integration. The case study results show that the choice of weighting scheme significantly impacts the results. In particular, the PTDF aggregation schemes based on nodal injections (production minus demand) and production outperform the pro-rata aggregation scheme.\",\"PeriodicalId\":231255,\"journal\":{\"name\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2015.7379976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2015.7379976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of PTDF based power system aggregation schemes
Power flow computations are essential for many types of power system analyses. In order to reduce computation time and reflect actual power market operation, network aggregation principles are often used. In this work we discuss network aggregation based on power transfer distribution factors (PTDF), by testing three different aggregation schemes. We analyze the performance of the three schemes comparing their solutions with the results obtained from a DC optimal power flow (DCOPF) performed on the non-aggregated system. The performance is evaluated on the IEEE 30-bus test system using three indicators; power generation, inter-zonal flows, and total system costs. To account for wind and load forecast uncertainty, we consider a modified IEEE 30-bus system proposed to address massive wind integration. The case study results show that the choice of weighting scheme significantly impacts the results. In particular, the PTDF aggregation schemes based on nodal injections (production minus demand) and production outperform the pro-rata aggregation scheme.