Anthony R. Florita

TL;DR: The Western Wind and Solar Integration Study (WWSIS-2) as discussed by the authors evaluated these costs and emissions and simulated grid operations for a year to investigate the detailed impact of wind and solar on the fossil-fueled fleet.

TL;DR: A suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios that were developed as part of the U.S. Department of Energy SunShot Initiative's efforts to improve the accuracy of solar forecasting show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting.

TL;DR: The value of day-ahead solar power forecasting improvements was analyzed by simulating the operation of the Independent System Operator -New England (ISO-NE) power system under a range of scenarios with varying solar power penetrations and solar power forecast improvements.

TL;DR: Numerical simulations on the real-time and synthetic PMU data show that the DPSDT method can accurately detect the start-time of an event and the event placement with relatively high precision.

TL;DR: In this paper, an optimized swinging door algorithm (OpSDA) was proposed to improve the state-of-the-art in wind power ramp event detection, and the results showed that the OpSDA provided significantly better performance than the SDA and equal-to-better performance compared to the L1-Ramp Detect with Sliding Window (L1-SW) method with significantly less computational time.