{"title":"电力市场中变压器分接比的优化配置与发电成本的最小化与发电企业市场力的中和","authors":"R. Panda","doi":"10.1109/PARC52418.2022.9726568","DOIUrl":null,"url":null,"abstract":"The paper presents a strategy to access market power of generation companies (GENCOs) by cross entropy (CE) under different transformer tap ratio (TTR) in a competitive power market. Cross entropy is determined using locational marginal price (LMP) as a variable parameter. The objective of the paper is to determine an optimal location for TTR to minimize the overall generation cost of the system in a competitive power market. The relative entropy is also determined to determine the extra bits of probability distribution differs from the target probability distribution. The proposed methodology is a non-linear programming (NLP) which is solved by Matpower Interior Programming Solver (MIPS). In order to show the effectiveness, possible 36 scenarios are obtained for 6 GENCOs for accessing market power. IEEE 30 bus system is used to show the effectiveness of the proposed methodology.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minimizing Generation Cost and Neutralizing Market Power of GENCOs by Optimally locating Transformer Tap Ratio in Power Market\",\"authors\":\"R. Panda\",\"doi\":\"10.1109/PARC52418.2022.9726568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a strategy to access market power of generation companies (GENCOs) by cross entropy (CE) under different transformer tap ratio (TTR) in a competitive power market. Cross entropy is determined using locational marginal price (LMP) as a variable parameter. The objective of the paper is to determine an optimal location for TTR to minimize the overall generation cost of the system in a competitive power market. The relative entropy is also determined to determine the extra bits of probability distribution differs from the target probability distribution. The proposed methodology is a non-linear programming (NLP) which is solved by Matpower Interior Programming Solver (MIPS). In order to show the effectiveness, possible 36 scenarios are obtained for 6 GENCOs for accessing market power. IEEE 30 bus system is used to show the effectiveness of the proposed methodology.\",\"PeriodicalId\":158896,\"journal\":{\"name\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARC52418.2022.9726568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARC52418.2022.9726568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimizing Generation Cost and Neutralizing Market Power of GENCOs by Optimally locating Transformer Tap Ratio in Power Market
The paper presents a strategy to access market power of generation companies (GENCOs) by cross entropy (CE) under different transformer tap ratio (TTR) in a competitive power market. Cross entropy is determined using locational marginal price (LMP) as a variable parameter. The objective of the paper is to determine an optimal location for TTR to minimize the overall generation cost of the system in a competitive power market. The relative entropy is also determined to determine the extra bits of probability distribution differs from the target probability distribution. The proposed methodology is a non-linear programming (NLP) which is solved by Matpower Interior Programming Solver (MIPS). In order to show the effectiveness, possible 36 scenarios are obtained for 6 GENCOs for accessing market power. IEEE 30 bus system is used to show the effectiveness of the proposed methodology.