{"title":"天然气干线用户可再生能源能源组合参数的论证","authors":"A. Sibgatullin, V. Tolmachev","doi":"10.1109/URALCON.2018.8544285","DOIUrl":null,"url":null,"abstract":"This article reviews a newly developed methodology for comprehensive assessment, based on both energy and cost efficiency criteria, of the configuration and parameters of a hybrid energy complex (EC) that uses renewable energy sources (RESs) to supply consumers located along trunk gas pipeline routes (TGPCs) with electricity to prescribed energy supply reliability standards. This methodology makes it possible to define the configuration and parameters of power units based on both renewable and conventional energy sources, energy storage facilities, electric energy converters (rectifiers, invertors, stabilisers, etc.) and the connection scheme for the EC energy sources that is optimal for the given geographic and climatic conditions, and the consumer mix, characteristics, and operation modes. The algorithms and methodology were developed based on a review of the functional links and variable parameters of hybrid energy complexes and using known mathematical methods for solving optimisation problems. On the basis of the algorithms and methodology developed, a dynamic simulation model of EC operation modes was created using the Simulink 8 block modular visual simulation software of the MATLAB R2013b matrix system, which model is used to optimise the EC configuration and parameters and to graphically visualise the energy inflow, generation, storage and consumption processes.","PeriodicalId":263504,"journal":{"name":"2018 International Ural Conference on Green Energy (UralCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Justification of the Parameters of RES Based Energy Complexes for Trunk Gas Pipeline Consumers\",\"authors\":\"A. Sibgatullin, V. Tolmachev\",\"doi\":\"10.1109/URALCON.2018.8544285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article reviews a newly developed methodology for comprehensive assessment, based on both energy and cost efficiency criteria, of the configuration and parameters of a hybrid energy complex (EC) that uses renewable energy sources (RESs) to supply consumers located along trunk gas pipeline routes (TGPCs) with electricity to prescribed energy supply reliability standards. This methodology makes it possible to define the configuration and parameters of power units based on both renewable and conventional energy sources, energy storage facilities, electric energy converters (rectifiers, invertors, stabilisers, etc.) and the connection scheme for the EC energy sources that is optimal for the given geographic and climatic conditions, and the consumer mix, characteristics, and operation modes. The algorithms and methodology were developed based on a review of the functional links and variable parameters of hybrid energy complexes and using known mathematical methods for solving optimisation problems. On the basis of the algorithms and methodology developed, a dynamic simulation model of EC operation modes was created using the Simulink 8 block modular visual simulation software of the MATLAB R2013b matrix system, which model is used to optimise the EC configuration and parameters and to graphically visualise the energy inflow, generation, storage and consumption processes.\",\"PeriodicalId\":263504,\"journal\":{\"name\":\"2018 International Ural Conference on Green Energy (UralCon)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Ural Conference on Green Energy (UralCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URALCON.2018.8544285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Ural Conference on Green Energy (UralCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URALCON.2018.8544285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Justification of the Parameters of RES Based Energy Complexes for Trunk Gas Pipeline Consumers
This article reviews a newly developed methodology for comprehensive assessment, based on both energy and cost efficiency criteria, of the configuration and parameters of a hybrid energy complex (EC) that uses renewable energy sources (RESs) to supply consumers located along trunk gas pipeline routes (TGPCs) with electricity to prescribed energy supply reliability standards. This methodology makes it possible to define the configuration and parameters of power units based on both renewable and conventional energy sources, energy storage facilities, electric energy converters (rectifiers, invertors, stabilisers, etc.) and the connection scheme for the EC energy sources that is optimal for the given geographic and climatic conditions, and the consumer mix, characteristics, and operation modes. The algorithms and methodology were developed based on a review of the functional links and variable parameters of hybrid energy complexes and using known mathematical methods for solving optimisation problems. On the basis of the algorithms and methodology developed, a dynamic simulation model of EC operation modes was created using the Simulink 8 block modular visual simulation software of the MATLAB R2013b matrix system, which model is used to optimise the EC configuration and parameters and to graphically visualise the energy inflow, generation, storage and consumption processes.