{"title":"建筑能源系统的综合调度优化","authors":"Mengqi Shang, Hongjun Gao, Jianglin Zhang, Shuaijia He, Wenqin Wang, Qianzhen Chen","doi":"10.1109/POWERCON53785.2021.9697717","DOIUrl":null,"url":null,"abstract":"Under the background of energy Internet, the integrated energy system with power system, which the core is developed by combining natural gas, heat energy and distributed energy system. With the increase of building quantity in China, the optimization of building integrated energy has become an important research field. The optimal scheduling of building integrated energy can improve the utilization rate of building integrated energy and reduce the daily operating cost of building through the conversion coupling and collaborative optimization of various energy sources such as electricity, gas, cold and heat in buildings. The main contents of this paper are as follows: the building integrated energy supply framework is established, the building integrated energy system is divided into energy production, energy conversion, energy storage and building load, and each part is modeled. The building integrated energy optimization model is established, the objective function is proposed, and the constraints such as equipment operation and energy balance are established. Finally, an example is introduced to analyze the optimal scheduling of the building integrated energy system, and the operating conditions on typical days are selected to analyze and verify the optimal scheduling results of electrical power, thermal power and cold power, proving that the model and optimization scheme constructed in this paper are effective.","PeriodicalId":216155,"journal":{"name":"2021 International Conference on Power System Technology (POWERCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated Dispach Optimization for Building Energy System\",\"authors\":\"Mengqi Shang, Hongjun Gao, Jianglin Zhang, Shuaijia He, Wenqin Wang, Qianzhen Chen\",\"doi\":\"10.1109/POWERCON53785.2021.9697717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the background of energy Internet, the integrated energy system with power system, which the core is developed by combining natural gas, heat energy and distributed energy system. With the increase of building quantity in China, the optimization of building integrated energy has become an important research field. The optimal scheduling of building integrated energy can improve the utilization rate of building integrated energy and reduce the daily operating cost of building through the conversion coupling and collaborative optimization of various energy sources such as electricity, gas, cold and heat in buildings. The main contents of this paper are as follows: the building integrated energy supply framework is established, the building integrated energy system is divided into energy production, energy conversion, energy storage and building load, and each part is modeled. The building integrated energy optimization model is established, the objective function is proposed, and the constraints such as equipment operation and energy balance are established. Finally, an example is introduced to analyze the optimal scheduling of the building integrated energy system, and the operating conditions on typical days are selected to analyze and verify the optimal scheduling results of electrical power, thermal power and cold power, proving that the model and optimization scheme constructed in this paper are effective.\",\"PeriodicalId\":216155,\"journal\":{\"name\":\"2021 International Conference on Power System Technology (POWERCON)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Power System Technology (POWERCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERCON53785.2021.9697717\",\"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 International Conference on Power System Technology (POWERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERCON53785.2021.9697717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Dispach Optimization for Building Energy System
Under the background of energy Internet, the integrated energy system with power system, which the core is developed by combining natural gas, heat energy and distributed energy system. With the increase of building quantity in China, the optimization of building integrated energy has become an important research field. The optimal scheduling of building integrated energy can improve the utilization rate of building integrated energy and reduce the daily operating cost of building through the conversion coupling and collaborative optimization of various energy sources such as electricity, gas, cold and heat in buildings. The main contents of this paper are as follows: the building integrated energy supply framework is established, the building integrated energy system is divided into energy production, energy conversion, energy storage and building load, and each part is modeled. The building integrated energy optimization model is established, the objective function is proposed, and the constraints such as equipment operation and energy balance are established. Finally, an example is introduced to analyze the optimal scheduling of the building integrated energy system, and the operating conditions on typical days are selected to analyze and verify the optimal scheduling results of electrical power, thermal power and cold power, proving that the model and optimization scheme constructed in this paper are effective.