{"title":"多能源协同低碳能源管理系统控制策略","authors":"L. Zhong, Xi Hu, Jun Lei, Gaopeng Guo, Haojun Yan","doi":"10.1145/3546000.3546034","DOIUrl":null,"url":null,"abstract":"The proposal and development of a multi-energy collaborative low-carbon energy management system put forward new solutions for gradually increasing the proportion of new energy power generation, optimizing energy utilization efficiency, and reducing greenhouse gas emissions. Because this paper fully considers the differences in dynamic characteristics among various energy sources, and the optimal scheduling is also different according to the load under different time scales and the prediction accuracy results of new energy. In the multi-energy coordinated comprehensive energy park system of cold, heat, electricity, and gas, the multi time scale scheduling strategy reasonably coordinates a variety of equipment to optimize its operation, which is of great significance to the economic and reliable operation of the system, Based on the detailed modelling of the equipment, combined with the time-sharing price and time-sharing natural gas price, and considering the multi-energy complementary operation, this paper dynamically adjusts the equipment operation state to deal with the small-scale uncertain fluctuation of load and new energy output, so as to meet the economic and reliable operation of the system.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control strategy of multi-energy collaborative low carbon energy management system\",\"authors\":\"L. Zhong, Xi Hu, Jun Lei, Gaopeng Guo, Haojun Yan\",\"doi\":\"10.1145/3546000.3546034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposal and development of a multi-energy collaborative low-carbon energy management system put forward new solutions for gradually increasing the proportion of new energy power generation, optimizing energy utilization efficiency, and reducing greenhouse gas emissions. Because this paper fully considers the differences in dynamic characteristics among various energy sources, and the optimal scheduling is also different according to the load under different time scales and the prediction accuracy results of new energy. In the multi-energy coordinated comprehensive energy park system of cold, heat, electricity, and gas, the multi time scale scheduling strategy reasonably coordinates a variety of equipment to optimize its operation, which is of great significance to the economic and reliable operation of the system, Based on the detailed modelling of the equipment, combined with the time-sharing price and time-sharing natural gas price, and considering the multi-energy complementary operation, this paper dynamically adjusts the equipment operation state to deal with the small-scale uncertain fluctuation of load and new energy output, so as to meet the economic and reliable operation of the system.\",\"PeriodicalId\":196955,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3546000.3546034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3546000.3546034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control strategy of multi-energy collaborative low carbon energy management system
The proposal and development of a multi-energy collaborative low-carbon energy management system put forward new solutions for gradually increasing the proportion of new energy power generation, optimizing energy utilization efficiency, and reducing greenhouse gas emissions. Because this paper fully considers the differences in dynamic characteristics among various energy sources, and the optimal scheduling is also different according to the load under different time scales and the prediction accuracy results of new energy. In the multi-energy coordinated comprehensive energy park system of cold, heat, electricity, and gas, the multi time scale scheduling strategy reasonably coordinates a variety of equipment to optimize its operation, which is of great significance to the economic and reliable operation of the system, Based on the detailed modelling of the equipment, combined with the time-sharing price and time-sharing natural gas price, and considering the multi-energy complementary operation, this paper dynamically adjusts the equipment operation state to deal with the small-scale uncertain fluctuation of load and new energy output, so as to meet the economic and reliable operation of the system.