Transient Stability Evaluation in Power Systems with Renewable Energy Integration Using Neural Networks
Budget: $250 – $750 USD
I’m reaching out regarding a simulation project based on the IEEE-39 bus power system, which integrates renewable energy and uses neural networks for transient stability evaluation. The project is divided into three main phases:
Phase 1: Develop a base simulation of the IEEE-39 system in MATLAB and integrate renewable sources like wind and solar, ensuring proper operation for stability analysis.
Phase 2: Run simulations under different operating conditions and export the data to train neural networks. The goal is to compare traditional stability metrics with the predictions from different neural network models.
Phase 3: Validate the trained models using case studies, and compare their predictive performance against conventional methods to assess accuracy and reliability.
Please let me know if you need further information or clarification.
Best regards,
Daniel
Phase 1: Develop a base simulation of the IEEE-39 system in MATLAB and integrate renewable sources like wind and solar, ensuring proper operation for stability analysis.
Phase 2: Run simulations under different operating conditions and export the data to train neural networks. The goal is to compare traditional stability metrics with the predictions from different neural network models.
Phase 3: Validate the trained models using case studies, and compare their predictive performance against conventional methods to assess accuracy and reliability.
Please let me know if you need further information or clarification.
Best regards,
Daniel