{"title":"概率选择与风险分析——电力系统规划中的冲突与综合","authors":"Vladimiro Miranda, L. M. Proença","doi":"10.1109/PICA.1997.599368","DOIUrl":null,"url":null,"abstract":"This paper shows the conceptual differences between adopting a probabilistic weighting of the futures and a risk averse strategy, in power system planning under uncertain scenarios. It is illustrated with a distribution planning problem, where optimal solutions in both cases are determined by a genetic algorithm. It shows that the probabilistic approach is less safe and cannot detect some interesting solutions.","PeriodicalId":383749,"journal":{"name":"Proceedings of the 20th International Conference on Power Industry Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"137","resultStr":"{\"title\":\"Probabilistic choice vs. risk analysis-conflicts and synthesis in power system planning\",\"authors\":\"Vladimiro Miranda, L. M. Proença\",\"doi\":\"10.1109/PICA.1997.599368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper shows the conceptual differences between adopting a probabilistic weighting of the futures and a risk averse strategy, in power system planning under uncertain scenarios. It is illustrated with a distribution planning problem, where optimal solutions in both cases are determined by a genetic algorithm. It shows that the probabilistic approach is less safe and cannot detect some interesting solutions.\",\"PeriodicalId\":383749,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on Power Industry Computer Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"137\",\"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.1997.599368\",\"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.1997.599368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probabilistic choice vs. risk analysis-conflicts and synthesis in power system planning
This paper shows the conceptual differences between adopting a probabilistic weighting of the futures and a risk averse strategy, in power system planning under uncertain scenarios. It is illustrated with a distribution planning problem, where optimal solutions in both cases are determined by a genetic algorithm. It shows that the probabilistic approach is less safe and cannot detect some interesting solutions.