Tunisian Residential Microgrid Platform Dataset

The dataset originates from microgrid platform (MGP, https://www.microgrid-qehna.com/) located in QehnA lab (https://www.qehna.com/) of the National School of Engineers of Tunis (ENIT) and serves as a testbed for various energy-related studies. The platform includes two microgrids, namely Pla-NeTE and SMARTNESS. Pla-NeTE, which stands for Platform for investigations of New Technologies of the Energy is a microgrid platform, designed for the investigation of new energy technologies in the case of massive residential photovoltaics integration and its impact on the distribution network. On the other hand, SMARTNESS, which stands for Smart Micro-grid plAtfoRm wiTh aN Energy SyStem, is a laboratory-scale microgrid designed for the exploration of emerging energy technologies and associated concepts such as collective self-consumption and energy management systems. Both microgrids are connected to the low-voltage distribution network. The dataset comprises samples of electrical data collected from the microgrid platform. It offers a valuable resource for researchers and analysts to study real-world electrical data and gain insights into the microgrid's performance, encompassing aspects such as energy consumption, renewable energy generation, and energy storage systems while considering residential microgrid in Tunisia. The dataset primarily consists of electrical data samples recorded from both microgrids while considering different operating conditions. It provides a granular view of the microgrids’ real-time electrical performance according to given test procedure. This dataset does not encompass detailed information about the microgrid's physical structure or components, but these later can be found in the related publications. Researchers can use this data to analyse the microgrids’ operational patterns and performance in the context of electrical energy management. The dataset's applicability extends to various research areas, including residential load management, renewable energy integration, and power quality improvement.本数据集源自突尼斯国立工程师学院（National School of Engineers of Tunis, ENIT）QehnA实验室（https://www.qehna.com/）旗下的微电网平台（Microgrid Platform, MGP，https://www.microgrid-qehna.com/），该平台作为各类能源相关研究的测试床。该平台包含两个微电网，分别为Pla-NeTE与SMARTNESS。其中Pla-NeTE全称能源新技术研究平台（Platform for investigations of New Technologies of the Energy），是一款面向大规模户用光伏并网场景下新能源技术研究及其对配电网影响的微电网平台。而SMARTNESS全称集成能源系统的智能微电网平台（Smart Micro-grid plAtfoRm wiTh aN Energy SyStem），是一款实验室规模的微电网平台，用于探索新兴能源技术及相关概念，例如集体自发自用模式与能源管理系统。两款微电网均接入低压配电网。 本数据集包含从该微电网平台采集的电力数据样本，可为研究人员与分析人员提供宝贵的研究资源，用于分析真实场景下的电力数据，深入洞察突尼斯户用微电网的运行性能，涵盖能源消耗、可再生能源发电与储能系统等多个维度。数据集主要包含两款微电网在不同运行工况下记录的电力数据样本，可依据指定测试流程，呈现微电网实时电力性能的精细化视图。本数据集未包含微电网的物理结构或组件细节，相关信息可查阅已发表的关联文献。研究人员可利用该数据，在电力能源管理场景下分析微电网的运行模式与性能表现。本数据集的应用场景覆盖多个研究领域，包括户用负荷管理、可再生能源并网以及电能质量优化。

搜集汇总

背景与挑战

背景概述

该数据集源自突尼斯国立工程学院QehnA实验室的微电网平台，包含Pla-NeTE和SMARTNESS两个微电网的电气数据样本，用于研究住宅光伏集成和新兴能源技术。数据集涵盖能源消耗、可再生能源发电和储能系统等性能指标，提供实时电气性能的细粒度视图，适用于住宅负载管理、可再生能源集成等能源管理研究。