Li Guangdi, Xu Guoyi, Zhou Bowen, Huai Jinpeng, Zhao Ying
{"title":"考虑能源供给的废物处理多能系统最优运行策略","authors":"Li Guangdi, Xu Guoyi, Zhou Bowen, Huai Jinpeng, Zhao Ying","doi":"10.1109/AEEES54426.2022.9759729","DOIUrl":null,"url":null,"abstract":"Given the serious energy waste of the multi-energy system and the low absorption capacity of renewable energy, this paper considers the characteristics of waste energy supply and simultaneously optimizes the operation of the multi-energy system. Firstly, the key unit models in the system such as the waste energy supply model are built. Then, opportunity constraints are used to describe the uncertainty of load and renewable energy output, and a multi-energy system optimization strategy that takes into account the energy supply characteristics of waste treatment facilities and the synergy of renewable energy is proposed. Finally, based on the operating data of a large-scale multi-energy system and waste treatment facility, a simulation model for joint optimization operation of a multi-energy system considering the coordination of waste treatment energy supply and renewable energy is established. Simulation results show the multi-energy system joint optimization model proposed in this paper can effectively coordinate the energy supply of waste treatment facilities and the fluctuation of renewable energy. It satisfies the system's various load requirements and wastes disposal requirements effectively improving the on-site consumption of clean energy and can coordinate system economy and energy utilization efficiency.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"58 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Operation Strategy of Multi-energy System Considering Energy Supply for Waste Treatment\",\"authors\":\"Li Guangdi, Xu Guoyi, Zhou Bowen, Huai Jinpeng, Zhao Ying\",\"doi\":\"10.1109/AEEES54426.2022.9759729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given the serious energy waste of the multi-energy system and the low absorption capacity of renewable energy, this paper considers the characteristics of waste energy supply and simultaneously optimizes the operation of the multi-energy system. Firstly, the key unit models in the system such as the waste energy supply model are built. Then, opportunity constraints are used to describe the uncertainty of load and renewable energy output, and a multi-energy system optimization strategy that takes into account the energy supply characteristics of waste treatment facilities and the synergy of renewable energy is proposed. Finally, based on the operating data of a large-scale multi-energy system and waste treatment facility, a simulation model for joint optimization operation of a multi-energy system considering the coordination of waste treatment energy supply and renewable energy is established. Simulation results show the multi-energy system joint optimization model proposed in this paper can effectively coordinate the energy supply of waste treatment facilities and the fluctuation of renewable energy. It satisfies the system's various load requirements and wastes disposal requirements effectively improving the on-site consumption of clean energy and can coordinate system economy and energy utilization efficiency.\",\"PeriodicalId\":252797,\"journal\":{\"name\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"58 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES54426.2022.9759729\",\"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 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Operation Strategy of Multi-energy System Considering Energy Supply for Waste Treatment
Given the serious energy waste of the multi-energy system and the low absorption capacity of renewable energy, this paper considers the characteristics of waste energy supply and simultaneously optimizes the operation of the multi-energy system. Firstly, the key unit models in the system such as the waste energy supply model are built. Then, opportunity constraints are used to describe the uncertainty of load and renewable energy output, and a multi-energy system optimization strategy that takes into account the energy supply characteristics of waste treatment facilities and the synergy of renewable energy is proposed. Finally, based on the operating data of a large-scale multi-energy system and waste treatment facility, a simulation model for joint optimization operation of a multi-energy system considering the coordination of waste treatment energy supply and renewable energy is established. Simulation results show the multi-energy system joint optimization model proposed in this paper can effectively coordinate the energy supply of waste treatment facilities and the fluctuation of renewable energy. It satisfies the system's various load requirements and wastes disposal requirements effectively improving the on-site consumption of clean energy and can coordinate system economy and energy utilization efficiency.