Smart Grid

Wind and Solar Power Data from Western Inner Mongolia

This dataset originates from a wind farm and a photovoltaic (PV) power station located in a region of western Inner Mongolia. It includes meteorological and power output data from the entire year of 2022, with a temporal resolution of 15-minute intervals. The wind farm data comprises meteorological parameters such as wind speed, wind direction, temperature, and humidity, as well as the power output of the wind turbines. The PV station data includes irradiation, temperature, and other weather-related parameters relevant to solar power generation, along with the corresponding output data.

Categories:: Smart Grid

271 Views

IEEE 118-Bus Cyber-Physical Power System Data Streams

This dataset consists of high-dimensional data streams collected from a cyber-physical 118-bus power system, offering a valuable resource for fault diagnosis and classification in large-scale smart grids.

Categories:: Machine Learning
Smart Grid

667 Views

Dataset for Training and Testing Data-driven Security Assessment of the IEEE ELVTN

This repository contains the datasets produced using different data generation strategies to train data driven models (e.g., decision trees, gradient tree boosting, and deep neural networks), and to evaluate their performances. The data generation strategies are described, and the results are presented in the conference paper: "Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids" J. Cuenca, E. Aldea, E. Le Guern-Dall'o, R. Féraud, G. Camilleri, and A. Blavette. IEEE ISGT EU 2024, Dubrovnik, Croatia, Oct 2024.

Categories:: Artificial Intelligence
Machine Learning
Electric Utility
Smart Grid

83 Views

Sample of RCD (Residual Current Device) Induction Voltage

This is an example of a signal from an RCD reading from a 7W Led Lamp load. The data is titled with two status: 0 for normal condition (NC) and 1 for single fault condition (SFC). From the signal, It was evident that the peak voltage fluctuated over a certain time. The signal waveform displayed a positive peak and a negative peak alternatively in a comparable amount of time, while lacking any distinct cosine form or fixed values for the peak voltages. It was discovered through measuring that time period that it had the same frequency of 50 Hz as the source of the input.

Categories:: Smart Grid

48 Views

Modeling and Simulation of Three-Phase Grid-Connected Solid-Oxide Fuel Cell Systems

This paper presents a method for modeling and simulating three-phase grid-connected solid-oxide fuel cell systems in the Matlab/Simulink environment. The approach is utilized to analyze the interaction between solid-oxide fuel cells and the electrical power system, focusing on understanding the dynamics of the electrochemical reaction and its impact on the performance of grid-connected fuel cell systems. The results highlight the effectiveness of the proposed method in accurately modeling and operating three-phase grid-connected solid-oxide fuel cell systems.