{"title":"水力热工最优潮流的内点法","authors":"Hua Wei, H. Sasaki, J. Kubokawa","doi":"10.1109/EMPD.1995.500796","DOIUrl":null,"url":null,"abstract":"This paper presents a new decoupling hydrothermal optimal power flow model and algorithm. Compared with Newton's method, the proposed method can cut down the requirement of memory more than 100 times. Moreover, computational time can be reduced enormously with system scale and hence it is especially suitable for large scale power systems. Simulation results on test systems, the maximum system of which includes 37,228 primal-dual variables, have verified the robustness and speed of the proposed method.","PeriodicalId":447674,"journal":{"name":"Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Interior point method for hydro-thermal optimal power flow\",\"authors\":\"Hua Wei, H. Sasaki, J. Kubokawa\",\"doi\":\"10.1109/EMPD.1995.500796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new decoupling hydrothermal optimal power flow model and algorithm. Compared with Newton's method, the proposed method can cut down the requirement of memory more than 100 times. Moreover, computational time can be reduced enormously with system scale and hence it is especially suitable for large scale power systems. Simulation results on test systems, the maximum system of which includes 37,228 primal-dual variables, have verified the robustness and speed of the proposed method.\",\"PeriodicalId\":447674,\"journal\":{\"name\":\"Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMPD.1995.500796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMPD.1995.500796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interior point method for hydro-thermal optimal power flow
This paper presents a new decoupling hydrothermal optimal power flow model and algorithm. Compared with Newton's method, the proposed method can cut down the requirement of memory more than 100 times. Moreover, computational time can be reduced enormously with system scale and hence it is especially suitable for large scale power systems. Simulation results on test systems, the maximum system of which includes 37,228 primal-dual variables, have verified the robustness and speed of the proposed method.