含极高渗透率分布式光伏的区域电网运行风险评估方法算例数据集

本数据集为验证“含极高渗透率分布式光伏的区域电网运行风险评估方法”而构建。面向新型电力系统背景下分布式光伏大规模、高比例接入所引发的运行安全与调节能力挑战，重点支撑区域级/省级电网及配电网层面的风险识别、预测评估与预警决策，为相关算法验证、方法对比与系统集成测试提供贴近实际运行特征的基准数据环境。 数据集以高渗透率分布式光伏接入场景为核心，综合考虑区域电网、配电网及源网荷储互动资源的协同运行特性。输入数据主要包括分布式光伏历史出力数据、区域/省级电网运行数据（如节点电压、线路潮流、负荷功率等）、分布式光伏日内超短期预测数据，以及可调负荷等源网荷储互动资源运行与调度信息，时间分辨率以5分钟为主，部分预测数据为15分钟分辨率，能够较好刻画分布式光伏出力波动及其对电网运行状态的影响。 在此基础上，数据集通过潮流仿真、敏感性分析与统计分析相结合的方法，形成多层级、多维度的运行风险评估与预测结果。数据输出涵盖关键节点电压越限风险、线路传输功率越限风险、系统整体运行风险评估，以及基于日内超短期预测的分布式光伏功率爬坡事件预测结果和对应的区域电网运行风险研判。同时，针对极高渗透率场景，进一步给出分布式光伏爬坡事件的影响范围及风险等级等判别与预警信息。数据集还构建了高渗透率分布式光伏配电网运行风险评估指标体系，结合站点级光伏出力、馈线与台区运行数据以及指标权重信息，对电压偏移、热过载、反向功率、功率爬坡率及功率因数异常等典型风险因素进行量化评估。This dataset is constructed to validate the regional power grid operation risk assessment method with extremely high penetration of distributed photovoltaics (PV). Aiming at the challenges to operation security and regulation capability caused by the large-scale and high-proportion integration of distributed PV under the background of new-type power systems, it focuses on supporting risk identification, predictive assessment and early warning decision-making at the regional/provincial power grid and distribution network levels, and provides a benchmark data environment that aligns with actual operation characteristics for relevant algorithm verification, method comparison and system integration testing. Centered on the scenario of high-penetration distributed PV integration, the dataset comprehensively considers the collaborative operation characteristics of regional power grids, distribution networks and source-grid-load-storage interactive resources. The input data mainly includes historical output data of distributed PV, regional/provincial power grid operation data (such as node voltage, line power flow, load power, etc.), intraday ultra-short-term forecast data of distributed PV, and operation and dispatch information of source-grid-load-storage interactive resources such as controllable loads. The time resolution is mainly 5 minutes, and part of the forecast data adopts a 15-minute resolution, which can well characterize the output fluctuation of distributed PV and its impact on the power grid operation state. On this basis, the dataset combines power flow simulation, sensitivity analysis and statistical analysis to form multi-level and multi-dimensional operation risk assessment and prediction results. The data output covers key node voltage over-limit risks, line transmission power over-limit risks, system overall operation risk assessment, as well as the forecast results of distributed PV power ramp events based on intraday ultra-short-term forecasts and the corresponding regional power grid operation risk judgment and analysis. Meanwhile, for the extremely high penetration scenario, it further provides discrimination and early warning information such as the impact scope and risk level of distributed PV ramp events. The dataset also constructs an operation risk assessment indicator system for distribution networks with high-penetration distributed PV, which quantitatively evaluates typical risk factors including voltage deviation, thermal overload, reverse power flow, power ramp rate and abnormal power factor by combining station-level PV output, feeder and distribution station operation data and indicator weight information.

搜集汇总

背景与挑战

背景概述

该数据集旨在验证含极高渗透率分布式光伏的区域电网运行风险评估方法，针对分布式光伏大规模接入带来的安全挑战，提供基准数据环境。它包含分布式光伏出力、电网运行数据等输入信息，以及电压越限、线路过载等多维度风险评估输出，支持算法验证和预警决策。数据集还构建了风险评估指标体系，量化分析电压偏移、热过载等典型风险因素，适用于区域级或省级电网的运行安全研究。