Search Results for author:
Found 5 papers, 0 papers with code
Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study
Our results indicate that accounting for negative externalities necessitates greater upfront investment in clean generation and storage (balanced by lower expected operational costs).
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets.
Weather-Driven Flexibility Reserve Procurement: A NYISO Offshore Wind Power Case Study
To address this, probability- and risk-based reserve sizing models have been proposed, which use probabilistic VRES power forecasts that mostly rely on historical forecast and actual VRES power data for model training.
Operation-Adversarial Scenario Generation
This paper proposes a modified conditional generative adversarial network (cGAN) model to generate net load scenarios for power systems that are statistically credible, conditioned by given labels (e. g., seasons), and, at the same time, "stressful" to the system operations and dispatch decisions.
Inertia Pricing in Stochastic Electricity Markets
Maintaining the stability of renewable-dominant power systems requires the procurement of virtual inertia services from non-synchronous resources (e. g., batteries, wind turbines) in addition to inertia traditionally provided by synchronous resources (e. g., thermal generators).
