Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System
Abstract
The deepening penetration of variable energy resources creates unprecedented challenges for system operators (SOs). An issue that merits special attention is the precipitous net load ramps, which require SOs to have flexible capacity at their disposal so as to maintain the supply-demand balance at all times. In the judicious procurement and deployment of flexible capacity, a tool that forecasts net load ramps may be of great assistance to SOs. To this end, we propose a methodology to forecast the magnitude and start time of daily primary three-hour net load ramps. We perform an extensive analysis so as to identify the factors that influence net load and draw on the identified factors to develop a forecasting methodology that harnesses the long short-term memory model. We demonstrate the effectiveness of the proposed methodology on the CAISO system using comparative assessments with selected benchmarks based on various evaluation metrics.
Keywords
Cite
@article{arxiv.2012.07117,
title = {Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System},
author = {Ogun Yurdakul and Andreas Meyer and Fikret Sivrikaya and Sahin Albayrak},
journal= {arXiv preprint arXiv:2012.07117},
year = {2020}
}
Comments
duck curve, long short-term memory (LSTM), net load, power system flexibility, ramp forecasting