基于大数据的混合智能微电网的高效能量管理调度系统数据集

混合智能微电网大数据能量高效管理调度系统测试数据集基于分布式光伏并网配电网与直流微电网模型，为微电网能量效率优化与控制提供多维数据支撑。基于实际电路结构模型参数，构建智能微电网仿真模型，通过仿真模型实时采集电网有功功率、电压状态和储能系统电荷状态等关键数据，以形成该数据集。数据集内容为高效能量调度系统平台设计文档、大规模电力系统调度的有限时间弹性快速响应控制算法、快速有限时间动态网络触发机制研究文档、直流电源和有功功率调节技术文档、有限时间能量优化技术文档、能量流优化技术文档、集群分布式高效能量调度技术文档、能量精确平衡的自适应惯性匹配策略技术文档、平衡叠加频率自适应下垂控制策略技术文档，基于大数据的混合智能微电网的高效能量管理调度系统代码以及《基于大数据的混合智能微电网的高效能量管理调度系统》专题技术研究报告，本数据集为微电网有功功率调节算法以及储能系统电荷状态自适应控制策略提供有效实证参考，同时也为高校及相关科研机构在微电网能量高效管理领域的课题研究提供数据支撑，具有再利用价值。数据量：31.3MBThis test dataset for the big data-based efficient energy management and scheduling system of hybrid intelligent microgrids is developed based on the models of distributed photovoltaic grid-connected distribution networks and DC microgrids, providing multi-dimensional data support for energy efficiency optimization and control of microgrids. Built using the actual circuit structure model parameters, the intelligent microgrid simulation model is established, and key data including grid active power, voltage status, and state of charge (SoC) of energy storage systems are collected in real time via the simulation model to generate this dataset. The dataset covers design documents of the efficient energy scheduling system platform, finite-time elastic fast response control algorithms for large-scale power system scheduling, research documents on fast finite-time dynamic network triggering mechanisms, technical documents on DC power supply and active power regulation technologies, technical documents on finite-time energy optimization technologies, technical documents on energy flow optimization technologies, technical documents on cluster-based distributed efficient energy scheduling technologies, technical documents on adaptive inertia matching strategies for precise energy balance, technical documents on balanced superimposed frequency adaptive droop control strategies, code of the big data-based efficient energy management and scheduling system for hybrid intelligent microgrids, and the special technical research report titled "Big Data-based Efficient Energy Management and Scheduling System for Hybrid Intelligent Microgrids". This dataset provides valid empirical references for active power regulation algorithms of microgrids and adaptive control strategies for the state of charge of energy storage systems, while offering data support for universities and relevant research institutions in their studies on efficient energy management of microgrids, with high reusability value. Data volume: 31.3 MB

搜集汇总

背景与挑战

背景概述

该数据集基于分布式光伏并网配电网与直流微电网模型，通过仿真采集电网有功功率、电压状态和储能电荷状态等关键数据，为微电网能量高效管理调度提供多维数据支撑。数据集包含技术文档、代码和专题报告，数据量为31.3MB，适用于微电网有功功率调节算法和储能控制策略的实证研究。