A Framework for Forecasting Solar Generation and Risk Minimization with Storage Technologies

Submitted by user123 on Sat, 07/24/2021 - 12:59
Project Investigator
Prof. Sandeep Kumar Shukla

Develop tools and methodologies for

  • using past weather data and corresponding predictions to build probabilistic models for solar irradiance at Solar Generator Locations and predict energy output
  • evaluating grid impact of Solar Generation with Power Electronic Converters in load servicing, and with capacitive storage for reactive power supply in case of voltage collapse
  • analyzing system imbalance with different mixes of renewable generation in the presence of storage;  and
  • analysis of effective load carrying capacity of a mini-grid in the presence of solar generations and storage  to facilitate optimal planning, operation, and efficient power market mechanisms.  

The main goal of the work is to facilitate the risk mitigation in unit commitment, intermittency of generation, and grid integration, for the experimental solar installations developed in this project.