five

Data base for the Expansion Planning of a Price-Maker Virtual Power Plant in Energy and Reserve Markets

收藏
doi.org2025-03-23 收录
下载链接:
http://doi.org/10.17632/zbcy6drbfd.1
下载链接
链接失效反馈
官方服务:
资源简介:
This database contains essential data for developing the problem addressed in the thesis titled "Stochastic Bilevel Models for Strategic Expansion Planning of Virtual Power Plants." The loaded data includes the file "representative_days.csv," which contains representative days from the year 2020, selected through a clustering method based on k-medoids. The file "Capacity_Factors_of_Renewable_Energy_Generation.csv" provides the energy production data for both solar PV and wind energy during the representative days of 2020. The files "Power_Bids_Offered_to_the_DA_Market_by_Demands.csv" and "Power_Bids_Offered_to_the_DA_Market_by_Producers.csv" contain 24-hour block data for the 10 representative days of the day-ahead electricity market clearing. The files "Power_Bids_Offered_to_the_Reserve_Market_by_Agents.csv" and "Reserve_Capacity_Required_in_the_Reserve_Market.csv" include 24-hour block data for the 10 representative days of the reserve market clearing. Additionally, the file "Flexible_Demand_Consumption_Levels.csv" contains the consumption limits for flexible demand in the VPP, while the file "Reserve_deployment_request_parameter.csv" includes a set of scenarios for the reserve deployment request used in Chapter 2. Finally, the file "Generated_scenarios_for_variable_costs_of_conventional_power_plants.csv" contains the scenarios generated for the variable costs of conventional power plants, used in Chapter 3.

本数据库汇聚了构建论文《基于随机双层模型的虚拟电厂战略扩张规划问题研究》所涉问题的核心数据。所含数据包括名为“representative_days.csv”的文件,该文件通过基于k-medoids的聚类方法,选取了2020年的典型日。文件“Capacity_Factors_of_Renewable_Energy_Generation.csv”提供了2020年典型日中太阳能光伏和风能的能源生产数据。文件“Power_Bids_Offered_to_the_DA_Market_by_Demands.csv”与“Power_Bids_Offered_to_the_DA_Market_by_Producers.csv”记录了日前电力市场清点过程中10个典型日的24小时分块数据。文件“Power_Bids_Offered_to_the_Reserve_Market_by_Agents.csv”与“Reserve_Capacity_Required_in_the_Reserve_Market.csv”包含了备用市场中10个典型日的24小时分块数据。文件“Flexible_Demand_Consumption_Levels.csv”记录了虚拟电厂中弹性需求的消费限制。文件“Reserve_deployment_request_parameter.csv”包括了第二章中使用的备用部署请求场景集。最后,文件“Generated_scenarios_for_variable_costs_of_conventional_power_plants.csv”包含了第三章中用于常规电厂变动成本的场景生成数据。
提供机构:
doi.org
二维码
社区交流群
二维码
科研交流群
商业服务