{"title":"应用于电力系统的计算效率最优控制方法","authors":"F. Freitas, A. S. Costa","doi":"10.1109/PICA.1997.599416","DOIUrl":null,"url":null,"abstract":"Attention is focused on the efficient application of optimal control methods with structural constraints to large power systems. A novel framework for linear-quadratic regulator problems is proposed which allows the use of matrix and vector sparsity techniques in the solution process. Results concerning the proposed method's computational performance as applied to a 750-bus, 40-machine power network are provided.","PeriodicalId":383749,"journal":{"name":"Proceedings of the 20th International Conference on Power Industry Computer Applications","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Computationally efficient optimal control methods applied to power systems\",\"authors\":\"F. Freitas, A. S. Costa\",\"doi\":\"10.1109/PICA.1997.599416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Attention is focused on the efficient application of optimal control methods with structural constraints to large power systems. A novel framework for linear-quadratic regulator problems is proposed which allows the use of matrix and vector sparsity techniques in the solution process. Results concerning the proposed method's computational performance as applied to a 750-bus, 40-machine power network are provided.\",\"PeriodicalId\":383749,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on Power Industry Computer Applications\",\"volume\":\"48 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th International Conference on Power Industry Computer Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PICA.1997.599416\",\"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 of the 20th International Conference on Power Industry Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICA.1997.599416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computationally efficient optimal control methods applied to power systems
Attention is focused on the efficient application of optimal control methods with structural constraints to large power systems. A novel framework for linear-quadratic regulator problems is proposed which allows the use of matrix and vector sparsity techniques in the solution process. Results concerning the proposed method's computational performance as applied to a 750-bus, 40-machine power network are provided.