{"title":"考虑电-气供热的区域综合能源系统分布式优化调度","authors":"Wenzhao Nie, Jing Wang, Yongkai Zhang, Zhipeng Qiu, Encheng Dong, Jian Chen","doi":"10.1109/ICPSAsia52756.2021.9621710","DOIUrl":null,"url":null,"abstract":"Taking account of day-ahead dispatch of electricity-gas-heating regional integrated energy system, the active power flow model of distribution network, heating network transmission equation and natural gas network model with the consideration of dynamic characteristics of natural gas are first established. Then, a day-ahead dispatch model is established aiming at minimizing the system economic cost. Considering the privacy and opacity of information between electricity-gas-heating entities, based on improved alternating direction multiplier method, a distributed optimization scheduling method is proposed. The augmented Lagrange function of the whole system is decomposed into three sub-problems of electricity, natural gas and heating for iterative solution. Finally, case study verified the effectiveness and validity of the proposed model and optimization method.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Optimal Dispatch of Regional Integrated Energy System Considering Electricity-Gas-Heating\",\"authors\":\"Wenzhao Nie, Jing Wang, Yongkai Zhang, Zhipeng Qiu, Encheng Dong, Jian Chen\",\"doi\":\"10.1109/ICPSAsia52756.2021.9621710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Taking account of day-ahead dispatch of electricity-gas-heating regional integrated energy system, the active power flow model of distribution network, heating network transmission equation and natural gas network model with the consideration of dynamic characteristics of natural gas are first established. Then, a day-ahead dispatch model is established aiming at minimizing the system economic cost. Considering the privacy and opacity of information between electricity-gas-heating entities, based on improved alternating direction multiplier method, a distributed optimization scheduling method is proposed. The augmented Lagrange function of the whole system is decomposed into three sub-problems of electricity, natural gas and heating for iterative solution. Finally, case study verified the effectiveness and validity of the proposed model and optimization method.\",\"PeriodicalId\":296085,\"journal\":{\"name\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"volume\":\"08 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPSAsia52756.2021.9621710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Optimal Dispatch of Regional Integrated Energy System Considering Electricity-Gas-Heating
Taking account of day-ahead dispatch of electricity-gas-heating regional integrated energy system, the active power flow model of distribution network, heating network transmission equation and natural gas network model with the consideration of dynamic characteristics of natural gas are first established. Then, a day-ahead dispatch model is established aiming at minimizing the system economic cost. Considering the privacy and opacity of information between electricity-gas-heating entities, based on improved alternating direction multiplier method, a distributed optimization scheduling method is proposed. The augmented Lagrange function of the whole system is decomposed into three sub-problems of electricity, natural gas and heating for iterative solution. Finally, case study verified the effectiveness and validity of the proposed model and optimization method.