{"title":"考虑电转气和多类型需求响应的电热综合能源系统多目标运行优化模型","authors":"Fangqiu Xu, Xiaopeng Li, Chunhua Jin","doi":"10.1063/5.0217570","DOIUrl":null,"url":null,"abstract":"Power-to-gas technology and demand response strategy are effective approaches to improve the flexibility and efficiency of energy systems. This paper proposes a multi-objective operation optimization model for an electro-thermal integrated energy system considering power to gas and demand response strategies. First, the structure of integrated energy system and the demand response model of different types of electro-thermal loads are proposed. Second, the operation optimization model of integrated energy system is established with three objectives of total cost minimization, carbon emission minimization, and energy curtailment rate minimization. A hybrid intelligent algorithm combining multi-objective particle swarm optimization and VlseKriterijumska Optimizacija I Kompromisno Resenje technique is employed to solve the proposed model. Then, an industrial park in North China is studied. The results indicate that power to gas can reduce the total cost, carbon emission, and energy curtailment rate by 8.18%, 11.92%, and 75.80%, respectively, and the demand response also has a positive impact on system performance.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-objective operation optimization model for the electro-thermal integrated energy systems considering power to gas and multi-type demand response\",\"authors\":\"Fangqiu Xu, Xiaopeng Li, Chunhua Jin\",\"doi\":\"10.1063/5.0217570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power-to-gas technology and demand response strategy are effective approaches to improve the flexibility and efficiency of energy systems. This paper proposes a multi-objective operation optimization model for an electro-thermal integrated energy system considering power to gas and demand response strategies. First, the structure of integrated energy system and the demand response model of different types of electro-thermal loads are proposed. Second, the operation optimization model of integrated energy system is established with three objectives of total cost minimization, carbon emission minimization, and energy curtailment rate minimization. A hybrid intelligent algorithm combining multi-objective particle swarm optimization and VlseKriterijumska Optimizacija I Kompromisno Resenje technique is employed to solve the proposed model. Then, an industrial park in North China is studied. The results indicate that power to gas can reduce the total cost, carbon emission, and energy curtailment rate by 8.18%, 11.92%, and 75.80%, respectively, and the demand response also has a positive impact on system performance.\",\"PeriodicalId\":16953,\"journal\":{\"name\":\"Journal of Renewable and Sustainable Energy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Renewable and Sustainable Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1063/5.0217570\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Renewable and Sustainable Energy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1063/5.0217570","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
摘要
电转气技术和需求响应策略是提高能源系统灵活性和效率的有效方法。本文提出了一种考虑电转气和需求响应策略的电热综合能源系统多目标运行优化模型。首先，提出了综合能源系统的结构和不同类型电热负荷的需求响应模型。其次，以总成本最小化、碳排放最小化和能源削减率最小化三个目标为基础，建立了综合能源系统的运行优化模型。采用多目标粒子群优化和 VlseKriterijumska Optimizacija I Kompromisno Resenje 技术相结合的混合智能算法来求解所提出的模型。然后，对华北某工业园区进行了研究。结果表明，电改气可使总成本、碳排放和能源削减率分别降低 8.18%、11.92% 和 75.80%，需求响应也对系统性能产生了积极影响。
A multi-objective operation optimization model for the electro-thermal integrated energy systems considering power to gas and multi-type demand response
Power-to-gas technology and demand response strategy are effective approaches to improve the flexibility and efficiency of energy systems. This paper proposes a multi-objective operation optimization model for an electro-thermal integrated energy system considering power to gas and demand response strategies. First, the structure of integrated energy system and the demand response model of different types of electro-thermal loads are proposed. Second, the operation optimization model of integrated energy system is established with three objectives of total cost minimization, carbon emission minimization, and energy curtailment rate minimization. A hybrid intelligent algorithm combining multi-objective particle swarm optimization and VlseKriterijumska Optimizacija I Kompromisno Resenje technique is employed to solve the proposed model. Then, an industrial park in North China is studied. The results indicate that power to gas can reduce the total cost, carbon emission, and energy curtailment rate by 8.18%, 11.92%, and 75.80%, respectively, and the demand response also has a positive impact on system performance.
期刊介绍：
The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields.
Topics covered include:
Renewable energy economics and policy
Renewable energy resource assessment
Solar energy: photovoltaics, solar thermal energy, solar energy for fuels
Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics
Bioenergy: biofuels, biomass conversion, artificial photosynthesis
Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation
Power distribution & systems modeling: power electronics and controls, smart grid
Energy efficient buildings: smart windows, PV, wind, power management
Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies
Energy storage: batteries, supercapacitors, hydrogen storage, other fuels
Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other
Marine and hydroelectric energy: dams, tides, waves, other
Transportation: alternative vehicle technologies, plug-in technologies, other
Geothermal energy
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