{"title":"基于仿射算法的一体化热电系统区间能量流分析","authors":"Junyi Wang, Haoran Zhao, Yibao Jiang, Hao Li, Sixiao Xin, Hang Tian","doi":"10.1109/ICCSIE55183.2023.10175305","DOIUrl":null,"url":null,"abstract":"The theory of uncertain energy flow analysis is important to the planning and operational optimization of integrated heat and electricity systems (IHES). In order to study the impact of uncertain factors on the IHES, an interval energy flow analysis method based on affine arithmetic is proposed in this paper. The electricity model, heat model and coupled component model based on affine arithmetic is first built considering the uncertainty of multi-energy loads. The IHES interval energy flow model is then efficiently solved by an integrated method using Krawczyk-Moore algorithm with affine arithmetic. Finally, the proposed method is fully verified in a test system of 4-bus power system and 3-node heating network. The accuracy and low-conservativeness is validated by comparison with Monte Carlo simulation method and interval method.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interval Energy Flow Analysis for Integrated Heat and Electricity System Based on Affine Arithmetic\",\"authors\":\"Junyi Wang, Haoran Zhao, Yibao Jiang, Hao Li, Sixiao Xin, Hang Tian\",\"doi\":\"10.1109/ICCSIE55183.2023.10175305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The theory of uncertain energy flow analysis is important to the planning and operational optimization of integrated heat and electricity systems (IHES). In order to study the impact of uncertain factors on the IHES, an interval energy flow analysis method based on affine arithmetic is proposed in this paper. The electricity model, heat model and coupled component model based on affine arithmetic is first built considering the uncertainty of multi-energy loads. The IHES interval energy flow model is then efficiently solved by an integrated method using Krawczyk-Moore algorithm with affine arithmetic. Finally, the proposed method is fully verified in a test system of 4-bus power system and 3-node heating network. The accuracy and low-conservativeness is validated by comparison with Monte Carlo simulation method and interval method.\",\"PeriodicalId\":391372,\"journal\":{\"name\":\"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSIE55183.2023.10175305\",\"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 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSIE55183.2023.10175305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interval Energy Flow Analysis for Integrated Heat and Electricity System Based on Affine Arithmetic
The theory of uncertain energy flow analysis is important to the planning and operational optimization of integrated heat and electricity systems (IHES). In order to study the impact of uncertain factors on the IHES, an interval energy flow analysis method based on affine arithmetic is proposed in this paper. The electricity model, heat model and coupled component model based on affine arithmetic is first built considering the uncertainty of multi-energy loads. The IHES interval energy flow model is then efficiently solved by an integrated method using Krawczyk-Moore algorithm with affine arithmetic. Finally, the proposed method is fully verified in a test system of 4-bus power system and 3-node heating network. The accuracy and low-conservativeness is validated by comparison with Monte Carlo simulation method and interval method.