有限信息交互下电力系统-数据中心多时空协同仿真数据集

本数据集面向多数据中心参与多时间尺度市场的协同决策，覆盖的核心指标包括：各类市场价格及场景编号、多数据中心在中长期/日前/实时市场的购电量与出清量、调频与备用的投标量与出清容量、中心间功率转移与时空灵活度利用率、碳配额买卖量与库存结余及跨期滚动轨迹、以及目标函数值与成本/收益分解及关键约束状态。数据围绕两条主线生成：其一，基于中长期电能量—碳配额联合出清框架，采用多场景采样刻画日前与实时电价不确定性，结合中长期/日前/实时价格与用电需求并计入数据中心的时空灵活性，形成跨期用能与碳配额联合出清决策数据；其二，构建日前电能量-调频-备用的联合投标模型，依据各市场价格、总能需求与服务质量要求，生成投标与资源分配数据。该数据集为研究在价格不确定与服务质量约束下的联动决策策略提供标准化样本，支持算法评测、灵敏度分析与仿真。数据集包含有限信息交互下电力系统－数据中心多时空协同仿真数据集－支撑数据共1个文件夹，其中：(1)多数据中心参与实时电能量市场、中长期市场、日前市场和碳市场的决策数据，格式为.xlxs，约0.13MB；(2)多数据中心参与实时电能量市场、中长期市场、日前市场和碳市场的算例分析，格式为.docx，约0.36MB；(3)多数据中心参与调频市场、备用市场和实时电能量市场的决策数据，格式为.xlxs，约0.44MB；(4)多数据中心参与调频市场、备用市场和实时电能量市场的算例分析，格式为.docx，约4.02MB。

This dataset targets collaborative decision-making for multiple data centers participating in multi-time-scale power and carbon markets. The core covered indicators include: various market prices and scenario numbers, power purchase and clearing volumes of multiple data centers in medium-long-term, day-ahead and real-time markets, bidding volumes and clearing capacities for frequency regulation and reserve services, inter-center power transfer and spatial-temporal flexibility utilization rates, carbon quota trading volumes, inventory balances and inter-temporal rolling trajectories, as well as objective function values, cost/benefit decomposition and key constraint states.
The dataset is generated along two main research pipelines: First, based on the medium-long-term electric energy-carbon quota joint clearing framework, multi-scenario sampling is adopted to characterize the uncertainty of day-ahead and real-time electricity prices. Combined with medium-long-term, day-ahead and real-time market prices, electricity demand and the spatial-temporal flexibility characteristics of data centers, joint clearing decision-making data for inter-temporal energy utilization and carbon quotas are generated. Second, a joint bidding model for day-ahead electric energy, frequency regulation and reserve services is constructed, and bidding and resource allocation data are generated based on market prices, total energy demand and service quality requirements.
This dataset provides standardized samples for researching joint decision-making strategies under price uncertainty and service quality constraints, supporting algorithm evaluation, sensitivity analysis and simulation experiments.
The dataset contains one folder named Supporting Data for the Multi-Spatio-Temporal Collaborative Simulation Dataset of Power Systems and Data Centers Under Limited Information Interaction, which includes:
(1) Decision-making data of multiple data centers participating in real-time electric energy market, medium-long-term market, day-ahead market and carbon market, in .xlsx format, with a size of approximately 0.13 MB;
(2) Case analysis of multiple data centers participating in real-time electric energy market, medium-long-term market, day-ahead market and carbon market, in .docx format, with a size of approximately 0.36 MB;
(3) Decision-making data of multiple data centers participating in frequency regulation market, reserve market and real-time electric energy market, in .xlsx format, with a size of approximately 0.44 MB;
(4) Case analysis of multiple data centers participating in frequency regulation market, reserve market and real-time electric energy market, in .docx format, with a size of approximately 4.02 MB.

搜集汇总

背景与挑战

背景概述

该数据集旨在研究多数据中心参与多时间尺度电力市场的协同决策，基于多场景采样和联合投标模型生成电能量、碳配额及辅助服务市场的决策与算例分析数据。它提供了标准化样本，用于支持算法评测、灵敏度分析与仿真研究。