Data Set for Dynamic Expansion Planning of a Commercial Virtual Power Plant through Coalition with Distributed Energy Resources considering Rival Competitors
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This database contains data essential for developing the problem of the paper named "Dynamic Expansion Planning of a Commercial Virtual Power Plant through Coalition with Distributed Energy Resources considering Rival Competitors". The loaded data includes the file "representative_days.csv," which contains representative days of the month under study (january and July), selected through a clustering method based on k-medoids. The file "generated_scenarios_for_july.csv" includes 9 scenarios generated from the representative days of July. Similarly, the file "generated_scenarios_for_january.csv" contains 9 scenarios generated from the representative days of January. The file 'generated_scenarios_DERs.csv' includes the scenarios and data of the Distributed Energy Resources (DERs) participating in the coalition process and their behavior in the auctions, as used in Figure 5 and derived from Table 8 .Lastly, the file 'generated_scenarios_rival_VPPs_behavior.csv' contains the bidding prices of rival VPPs in the auctions to acquire the services of the DERs, with data derived from Table 7.
本数据库为支撑论文《考虑竞争厂商的分布式能源联盟型商业虚拟电厂动态扩容规划》的相关问题开发提供了必要数据。所加载的数据包含以下文件:"representative_days.csv"收录了本次研究涉及的月份(1月与7月)的典型日数据,此类典型日通过基于k-medoids的聚类方法筛选得到;"generated_scenarios_for_july.csv"包含9个由7月典型日生成的场景;与之类似,"generated_scenarios_for_january.csv"收录了9个由1月典型日生成的场景;"generated_scenarios_DERs.csv"包含参与联盟流程的分布式能源(Distributed Energy Resources, DERs)的相关场景与数据,以及其在竞拍中的行为表现,该数据对应论文图5的内容,源自表8;最后,"generated_scenarios_rival_VPPs_behavior.csv"收录了竞争虚拟电厂在竞拍中获取分布式能源服务时的报价数据,此类数据源自论文表7。



