A. Alamri, Maad Alowaifeer, A. P. Sakis Meliopoulos
{"title":"电力系统可靠性评估的多目标机组承诺经济调度","authors":"A. Alamri, Maad Alowaifeer, A. P. Sakis Meliopoulos","doi":"10.1109/PMAPS47429.2020.9183684","DOIUrl":null,"url":null,"abstract":"This paper presents a multi-objective unit commitment economic dispatch (UCED) model. The model considers minimizing two conflicting objective functions; the minimization of the generation cost and the minimization (shaving) of the composite demand (CD) peak. The model takes into account conventional generation (CG) operating constraints, variable generation (VG) forced outages and seasonal variation, demand and energy storage system operation constraints. The multi-objective function is solved considering multiple priorities of the two objective functions. Upon retrieving the optimal results from the optimization problems, the reliability indices are computed using the probabilistic production costing (PPC) method. The model is applied to a test system consisting of 10 CG units, wind farms (WFs), solar farms (SFs), and ESS. Example test cases are presented with different penetration levels and ESS size.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-Objective Unit Commitment Economic Dispatch for Power Systems Reliability Assessment\",\"authors\":\"A. Alamri, Maad Alowaifeer, A. P. Sakis Meliopoulos\",\"doi\":\"10.1109/PMAPS47429.2020.9183684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a multi-objective unit commitment economic dispatch (UCED) model. The model considers minimizing two conflicting objective functions; the minimization of the generation cost and the minimization (shaving) of the composite demand (CD) peak. The model takes into account conventional generation (CG) operating constraints, variable generation (VG) forced outages and seasonal variation, demand and energy storage system operation constraints. The multi-objective function is solved considering multiple priorities of the two objective functions. Upon retrieving the optimal results from the optimization problems, the reliability indices are computed using the probabilistic production costing (PPC) method. The model is applied to a test system consisting of 10 CG units, wind farms (WFs), solar farms (SFs), and ESS. Example test cases are presented with different penetration levels and ESS size.\",\"PeriodicalId\":126918,\"journal\":{\"name\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMAPS47429.2020.9183684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS47429.2020.9183684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Objective Unit Commitment Economic Dispatch for Power Systems Reliability Assessment
This paper presents a multi-objective unit commitment economic dispatch (UCED) model. The model considers minimizing two conflicting objective functions; the minimization of the generation cost and the minimization (shaving) of the composite demand (CD) peak. The model takes into account conventional generation (CG) operating constraints, variable generation (VG) forced outages and seasonal variation, demand and energy storage system operation constraints. The multi-objective function is solved considering multiple priorities of the two objective functions. Upon retrieving the optimal results from the optimization problems, the reliability indices are computed using the probabilistic production costing (PPC) method. The model is applied to a test system consisting of 10 CG units, wind farms (WFs), solar farms (SFs), and ESS. Example test cases are presented with different penetration levels and ESS size.