{"title":"Distributionally robust co-optimization of energy and reserve dispatch for integrated electricity-gas-heating systems","authors":"Daren Ji, Zhinong Wei, Yizhou Zhou, Sheng Chen, Guoqiang Sun, Haixiang Zang","doi":"10.1016/j.seta.2024.104125","DOIUrl":null,"url":null,"abstract":"<div><div>The interconnection of electricity-gas-heating systems has received widespread attention due to its ability to improve the accommodation of renewable energy sources (RESs). This paper proposes a two-stage distributionally robust optimization (DRO) model for coordinating the energy and reserve of Integrated electricity-gas-heating systems (IEGHSs) in conjunction with the uncertainties of multiple wind power output. The Dirichlet process mixture model (DPMM) is applied to extract uncertainty parameters information from historical data and construct uncertainty sets that consider the correlations between the output uncertainties of multiple wind farms. The original problem is decomposed using the column and constraint generation (C&CG) algorithm and further transformed using duality theory to enhance computational efficiency. The effectiveness and economy of the proposed model are demonstrated based on the numerical results of a realistic IEGHSs with multiple wind power installations.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"73 ","pages":"Article 104125"},"PeriodicalIF":7.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138824005216","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The interconnection of electricity-gas-heating systems has received widespread attention due to its ability to improve the accommodation of renewable energy sources (RESs). This paper proposes a two-stage distributionally robust optimization (DRO) model for coordinating the energy and reserve of Integrated electricity-gas-heating systems (IEGHSs) in conjunction with the uncertainties of multiple wind power output. The Dirichlet process mixture model (DPMM) is applied to extract uncertainty parameters information from historical data and construct uncertainty sets that consider the correlations between the output uncertainties of multiple wind farms. The original problem is decomposed using the column and constraint generation (C&CG) algorithm and further transformed using duality theory to enhance computational efficiency. The effectiveness and economy of the proposed model are demonstrated based on the numerical results of a realistic IEGHSs with multiple wind power installations.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.