Ximing Wan, X. Wen, Taorong Gong, S. Chen, Qinfei Sun
{"title":"The low-carbon economic operation strategy of virtual power plant under different electricity-gas-heat-carbon multi-market synergy scenarios","authors":"Ximing Wan, X. Wen, Taorong Gong, S. Chen, Qinfei Sun","doi":"10.3233/jcm-226814","DOIUrl":null,"url":null,"abstract":"Studying the grid integration of renewable energy power generation is crucial for achieving the goal of carbon neutrality since it may have a significant influence on the secure and reliable functioning of the power system. In order to solve the problem of deviation impact caused by renewable energy fluctuations and the optimal scheduling of VPP (Virtual Power Plant), the study divides the internal aggregation unit of the virtual power plant into two parts to model. One part is the source equipment, including wind power generation equipment, gas turbine, gas boiler and waste heat boiler. And the other part is the generalized Energy storage, including electric vehicles, air conditioners and alternative response loads. Ultimately, a generalized energy storage-based virtual power plant operation optimization model is developed under multi-market coordination of electricity-gas-heat-carbon. According to the study’s findings, adding more power-to-gas technology boosts revenue in the carbon trading market by 25.24 percent. The energy market’s revenue is equal to that in the absence of a carbon trading market, and the income of the natural gas market increases by $ 32.96. The income of the carbon trading market is $ 181.51, and the final operating cost is reduced by $ 180.80, a drop of 7.81%. To sum up, the suggested approach may more effectively achieve the best distribution of different energy sources, increase the dependability of VPP operation, and make it more low-carbon.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"24 1","pages":"2237-2254"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Comput. Methods Sci. Eng.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jcm-226814","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
Studying the grid integration of renewable energy power generation is crucial for achieving the goal of carbon neutrality since it may have a significant influence on the secure and reliable functioning of the power system. In order to solve the problem of deviation impact caused by renewable energy fluctuations and the optimal scheduling of VPP (Virtual Power Plant), the study divides the internal aggregation unit of the virtual power plant into two parts to model. One part is the source equipment, including wind power generation equipment, gas turbine, gas boiler and waste heat boiler. And the other part is the generalized Energy storage, including electric vehicles, air conditioners and alternative response loads. Ultimately, a generalized energy storage-based virtual power plant operation optimization model is developed under multi-market coordination of electricity-gas-heat-carbon. According to the study’s findings, adding more power-to-gas technology boosts revenue in the carbon trading market by 25.24 percent. The energy market’s revenue is equal to that in the absence of a carbon trading market, and the income of the natural gas market increases by $ 32.96. The income of the carbon trading market is $ 181.51, and the final operating cost is reduced by $ 180.80, a drop of 7.81%. To sum up, the suggested approach may more effectively achieve the best distribution of different energy sources, increase the dependability of VPP operation, and make it more low-carbon.
研究可再生能源发电并网对实现碳中和目标至关重要,因为它可能对电力系统的安全可靠运行产生重大影响。为了解决可再生能源波动带来的偏差影响和VPP (Virtual Power Plant)的最优调度问题,本研究将虚拟电厂内部聚合单元分成两部分进行建模。一部分是源设备,包括风力发电设备、燃气轮机、燃气锅炉和余热锅炉。另一部分是广义储能,包括电动汽车、空调和备用响应负荷。最后,建立了电-气-热-碳多市场协调下基于广义储能的虚拟电厂运行优化模型。根据研究结果,增加更多的电转气技术将使碳交易市场的收入增加25.24%。能源市场的收入与没有碳交易市场的收入相等,天然气市场的收入增加了32.96美元。碳交易市场的收益为181.51美元,最终运营成本减少180.80美元,下降幅度为7.81%。综上所述,建议的方法可以更有效地实现不同能源的最佳分配,增加VPP运行的可靠性,并使其更加低碳。