P. Hu, Yueyi Lei, Xingping Jia, B. Zeng, Dunwei Gong
{"title":"Study on Collaborative Optimization of Mine Integrated Energy System Planning and Operation Considering Economy-Environment","authors":"P. Hu, Yueyi Lei, Xingping Jia, B. Zeng, Dunwei Gong","doi":"10.1109/CEEPE58418.2023.10165835","DOIUrl":null,"url":null,"abstract":"Regional Integrated Energy System (RIES) has been widely studied and applied in recent years for its excellent economy, flexible scheduling, energy conservation and environmental protection. Combined with the characteristics of mine associated energy utilization and occurrence, based on the research framework of RIES and taking the electric-gas-thermal coupling Mine Integrated Energy System(MIES) as the object, a collaborative optimization method of mine integrated energy system planning and operation considering economy and environment is proposed in this paper. Firstly, the topology architecture of mine comprehensive energy system is given considering the associated energy sources such as lack of wind and water gusher. Then, a two-layer planning-operation collaborative optimization model is proposed, with the upper layer being the optimal capacity optimization allocation layer and the lower layer being the optimal operation layer. An improved particle swarm optimization algorithm based on natural selection is proposed to solve the model efficiently. Finally, a mining area in Shanxi, China is selected for example analysis. The simulation results show that the proposed collaborative optimization scheme can effectively improve the economic and environmental benefits of the system, and verify the effectiveness and superiority of the optimization scheme.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE58418.2023.10165835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Regional Integrated Energy System (RIES) has been widely studied and applied in recent years for its excellent economy, flexible scheduling, energy conservation and environmental protection. Combined with the characteristics of mine associated energy utilization and occurrence, based on the research framework of RIES and taking the electric-gas-thermal coupling Mine Integrated Energy System(MIES) as the object, a collaborative optimization method of mine integrated energy system planning and operation considering economy and environment is proposed in this paper. Firstly, the topology architecture of mine comprehensive energy system is given considering the associated energy sources such as lack of wind and water gusher. Then, a two-layer planning-operation collaborative optimization model is proposed, with the upper layer being the optimal capacity optimization allocation layer and the lower layer being the optimal operation layer. An improved particle swarm optimization algorithm based on natural selection is proposed to solve the model efficiently. Finally, a mining area in Shanxi, China is selected for example analysis. The simulation results show that the proposed collaborative optimization scheme can effectively improve the economic and environmental benefits of the system, and verify the effectiveness and superiority of the optimization scheme.