多时空尺度风光储系统容量置信度评估数据

数据库分为两个文件夹，分别为多时空尺度容量置信度数据、跨省跨区电网边界条件数据。多时空尺度容量置信度数据文件夹下设3个二级文件夹，分别为风光荷场景生成结果、容量置信度评估结果、运行模拟优化结果；跨省跨区电网边界条件数据文件夹下设2个二级文件夹，分别为RTS_GMLC电网数据和甘肃-山东-浙江电网数据，格式包括Excel、CSV、mat三种形式，存储的是RTS-GMLC系统的风电、光伏、水电和负荷历史数据与机组参数，甘肃-山东-浙江跨省跨区系统的风电、光伏、水电、储能和负荷历史数据与机组、节点、线路参数数据。The database comprises two main folders: the Multi-Spatiotemporal Scale Capacity Confidence Data folder and the Cross-Provincial and Cross-Regional Power Grid Boundary Condition Data folder. The Multi-Spatiotemporal Scale Capacity Confidence Data folder contains three subfolders, namely Wind-Solar-Load Scenario Generation Results, Capacity Confidence Evaluation Results, and Operation Simulation Optimization Results. The Cross-Provincial and Cross-Regional Power Grid Boundary Condition Data folder includes two subfolders: RTS_GMLC Power Grid Data and Gansu-Shandong-Zhejiang Power Grid Data, with the data stored in three formats: Excel, CSV, and MAT. Specifically, the RTS_GMLC Power Grid Data holds historical wind power, photovoltaic, hydropower, and load data as well as generating unit parameters for the RTS-GMLC power system. The Gansu-Shandong-Zhejiang Power Grid Data covers historical wind power, photovoltaic, hydropower, energy storage, and load data, along with parameters of generating units, nodes, and transmission lines of the Gansu-Shandong-Zhejiang cross-provincial and cross-regional power system.

搜集汇总

背景与挑战

背景概述

该数据集专注于多时空尺度下风光储系统的容量置信度评估，主要包含容量置信度数据和跨省跨区电网边界条件数据。具体涵盖风光荷场景生成、评估结果和运行模拟优化，以及RTS_GMLC和甘肃-山东-浙江电网的历史数据与机组参数，数据格式包括Excel、CSV和mat等。