Predicting renewable grid failures -AI/ML

The basic features of the electrical power grid which is a hierarchical, centrally-controlled structure that assumes that power is generated solely from large central facilities. It also assumes the power is abundant, and the power generation disruption  is a relatively benign issue. Reliability is attained through redundancies and highly controllable generation that reacts to problems such as demand fluctuations and outages, rather than anticipating and avoiding them. Recent developments in Microgrids have upended these assumptions.. Demand has risen sharply and become more variable in recent decades adding significant stress to the grid. Alternative renewable energy sources, including wind and solar, are being integrated into the power grid but their distributed and intermittent nature make them difficult to control. With the existing grid control mechanisms and the ongoing developments, the probability of the existing power grid to survive failures or attacks degrades significantly, emphasizing the need for new tools for power grid analysis. 

Grid failure data for modeling :

Texas Power Outage data -2021

Data on utility machine failures from partner companies

creptaam Parallax

Datasets

Wind Power Generation Forecast

Wind Power Generation Forecast by Coupling Numerical Weather Prediction Model and Gradient Boosting Machines in Yahyalı Wind Power Plant

Wind hourly generation time series

This dataset is from Sotavento wind farm located in Galicia, Spain  It consists of 24 wind turbines with an installed capacity of 17.56 MW. The historical wind speed, wind direction and total power output of 24 wind turbines with 10-min resolution of this wind farm in 2016 are listed. 

Data-Driven Wind Power Forecast

This dataset corresponds to the results of the paper titled:”Data-Driven Wind Power Forecast for Very Short Horizons”4th International Conference on Smart Energy Systems and Technologies (SEST) – 2021 

Meteomatics Wind forecasts

This dataset is provided by Meteomatics

Wind Power Forecasting Competition Data

This dataset comprises of data from the Wind Power Forecasting Competition run in conjunction with the 14th International Conference on the European Energy Market, as well as the code (in R) and entries generated by the winning team.Competition Data includes 1-year of training data (wind power generation and weather data) provided by the competition organisers, and competition period input data.

Data Cleaning And Data Prep Tools Used By Our Team

The Project team will use the appropriate tools based on volume, location and nature of the client data and deliver the cleaned/formatted data with visualization or ingested in a database-whatever way a client will demand. They can also run initial POC with client suggested tools/machines to do initial QC of the data and feasibility of algorithmic solution.

Data Cleaning and Data Prep Tools used by our team 

creptaam Parallax

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