Advances in renewable energy forecasting for power grid stability: a decade review
摘要
In the past decade or so, the rapid growth of VRE has significantly impacted global power systems. The result has been a major leap forward in forecasting power grids. In this article, a summary is provided of major advances that have been achieved during the last decade or so. The article discusses the shift from traditional statistical models to more advanced models like deep learning models. The article also discusses advances that have been achieved in spatiotemporal resolution and the use of high-quality weather data. These advances have significantly reduced errors in forecasting wind and solar power. The article also discusses advances that have been achieved in forecasting accuracy and grid stability. These advances are closely related to each other. The article discusses advances like synthetic inertia, frequency regulation, and demand response. The article also discusses advances that have been achieved in forecasting accuracy by comparing deterministic forecasting models and probabilistic forecasting models. The article also discusses challenges that are being currently faced while moving forward to a more reliable, resilient, and secure power system that is powered by VRE. The article discusses various strategies that could be adopted to achieve a reliable, resilient, and secure power system powered by VRE.