工业电网数据集IEEE118bus
收藏国家基础学科公共科学数据中心2026-01-30 收录
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https://nbsdc.cn/general/dataDetail?id=683deadc195d261233189967&type=1
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资源简介:
工业电网数据集IEEE118Bus数据集为研究和开发电力系统的仿真、优化和控制算法提供标准化的数据集,数据集涵盖不同的运行场景,如正常运行、负荷增加、故障发生等,以测试算法在各种工况下的表现。电网虚假数据注入攻击数据集是根据极小割方法对IEEE118Bus系统仿真得到。根据实际电网的运行数据或标准电力系统参考,设置母线电压、发电机输出功率、负荷需求、线路阻抗等参数进行仿真。。通过改变系统参数或拓扑结构,生成多种运行场景下的数据,如负荷增加、季节性变化、突发故障等,以丰富数据集的适应性。数据量预估15MB.
The IEEE 118Bus industrial power grid dataset serves as a standardized resource for researching and developing simulation, optimization, and control algorithms for power systems. This dataset covers diverse operating scenarios including normal operation, load increment, fault occurrence, and more, to test the performance of algorithms under various working conditions. The power grid false data injection attack dataset is generated via simulations of the IEEE 118Bus system using the minimum cut method. Simulations are carried out by configuring parameters such as bus voltage, generator output power, load demand, and line impedance based on actual power grid operation data or standard power system references. By adjusting system parameters or topological structures, data under multiple operating scenarios—such as load increase, seasonal variations, and sudden faults—are generated to improve the adaptability of the dataset. The estimated size of this dataset is 15 MB.
提供机构:
浙江大学搜集汇总
数据集介绍

背景与挑战
背景概述
工业电网数据集IEEE118bus是一个标准化的电力系统数据集,旨在为仿真、优化和控制算法研究提供支持。它基于IEEE118Bus系统仿真生成,覆盖正常运行、负荷增加和故障等多种运行场景,数据量约为28.57MB。
以上内容由遇见数据集搜集并总结生成




