Jun Wang, Jian Xu, D. Ke, Jingjing Wang, Dan Liu, Nianzhang Liu
{"title":"基于拥塞管理和电压支持的配电网市场控制","authors":"Jun Wang, Jian Xu, D. Ke, Jingjing Wang, Dan Liu, Nianzhang Liu","doi":"10.1109/CEEPE55110.2022.9783407","DOIUrl":null,"url":null,"abstract":"From the perspective of incentive price, a day-ahead market-clearing model for distribution network with two types of market entities, i.e., commercial building and virtual power plant, is established. The influence of net active power load and net reactive power load on system operation is considered comprehensively, and multiple sensitivity factors are introduced to linearize power flow and steady-state gas flow constraints. Further, the cleared distribution locational marginal price is divided into five categories, i.e., baseline active power price, baseline reactive power price, congestion management price, voltage support price, network loss price. Each market entity is encouraged to adjust its own operation mode to support system operation through the guidance of different price signals. Finally, the simulation is conducted on an IEEE 33-node distribution network, it is verified that the proposed pricing strategy based on distribution locational marginal price decomposition is effective and rational.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Market Control Based for Congestion Management and Voltage Support in Distribution Network\",\"authors\":\"Jun Wang, Jian Xu, D. Ke, Jingjing Wang, Dan Liu, Nianzhang Liu\",\"doi\":\"10.1109/CEEPE55110.2022.9783407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"From the perspective of incentive price, a day-ahead market-clearing model for distribution network with two types of market entities, i.e., commercial building and virtual power plant, is established. The influence of net active power load and net reactive power load on system operation is considered comprehensively, and multiple sensitivity factors are introduced to linearize power flow and steady-state gas flow constraints. Further, the cleared distribution locational marginal price is divided into five categories, i.e., baseline active power price, baseline reactive power price, congestion management price, voltage support price, network loss price. Each market entity is encouraged to adjust its own operation mode to support system operation through the guidance of different price signals. Finally, the simulation is conducted on an IEEE 33-node distribution network, it is verified that the proposed pricing strategy based on distribution locational marginal price decomposition is effective and rational.\",\"PeriodicalId\":118143,\"journal\":{\"name\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEPE55110.2022.9783407\",\"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 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Market Control Based for Congestion Management and Voltage Support in Distribution Network
From the perspective of incentive price, a day-ahead market-clearing model for distribution network with two types of market entities, i.e., commercial building and virtual power plant, is established. The influence of net active power load and net reactive power load on system operation is considered comprehensively, and multiple sensitivity factors are introduced to linearize power flow and steady-state gas flow constraints. Further, the cleared distribution locational marginal price is divided into five categories, i.e., baseline active power price, baseline reactive power price, congestion management price, voltage support price, network loss price. Each market entity is encouraged to adjust its own operation mode to support system operation through the guidance of different price signals. Finally, the simulation is conducted on an IEEE 33-node distribution network, it is verified that the proposed pricing strategy based on distribution locational marginal price decomposition is effective and rational.