Power and Energy

This study focuses on the ability of inverters to restart the grid after a blackout, known as black start. This study used two different electrical distribution systems, such as IEEE 123 and K1, to integrate Self-synchronized Universal Droop Controller (SUDC)-based inverters. A 300- and 600-node system was built based on the IEEE 123 and K1 test grid in a real-time simulator. This study included a strategy for planning high penetration of renewable energy using grid-forming inverters for a reliable and resilient supply of electricity for critical loads.

This dataset contains the following simulated information of the IEEE 14 bus system: The 24-hour load profile of all the nodes of the IEE 14 bus circuit, voltages and currents measured by the PMUs placed at optimal locations which minimizes the variance on the estimated voltage states, voltages and currents measured by the PMUs placed at sub-optimal locations.

In this report, system parameters and additional information are provided to complement the data of the paper: “Virtual Synchronous Generator for VSC-HVDC Stations with DC Voltage Control”.

The dataset represents the input data on which the article Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs, is based. The data consist of a two-year hourly time series of measured wind speed and direction, air density, and production of two wind farms (WTs) in Croatia (Bruška and Jelinak). In addition to the two listed WTs, measurements of two nearby WTs (Glunca and Zelengrad) are also attached in training files (these WPPs are not directly analyzed in the article).