Smart Grid
Following a series of unusual transmission system disturbances involving unexpected IBR behaviors, there has been a significant need for monitoring, control, and protection functions that can help system operators more rapidly understand and respond to these disturbances. The IBR-rich transmission system datakit (IRTSD) is focused on transient disturbances in IBR-rich transmission systems and consists of a dataset, power system model, and automation scripting.
- Categories:
240 Views
This is the snapshot of the directories included in this dataset, which are load, price, pv, and wind. Within each directory, there is an .xlsx file that list the detailed data in that category. These data are used in an article titled "Consensus-based distributed reinforcement learning with primal-dual update for networked microgrids on-line coordination."
- Categories:
290 Views
The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.
- Categories:
143 Views
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:
159 Views
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:
463 Views
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:
53 Views
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:
26 Views
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.
- Categories:
161 Views
This dataset is in support of my research claim and presentation. Make sure you have read Caution. Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.
I. Research/ Presentation Title *:
(For Free download, pls. click on title)
* The submitted work will be used in my future presentations or future research paper, with same or different titles.
Videos uploaded on YouTube are
II. Model
- Categories:
144 Views
This dataset is in support of my research claim and presentation. Make sure you have read Caution. Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.
I. Research/ Presentation Title *:
(For Free download, pls. click on title)
* The submitted work will be used in my future presentations or future research paper, with same or different titles.
Videos uploaded on YouTube are
II. Model
- Categories:
192 Views