PD IEC TR 63043:2020 Renewable Energy Power Forecasting Technology

In the ever-evolving landscape of renewable energy, the ability to accurately forecast power generation is crucial for optimizing energy production and ensuring grid stability. The PD IEC TR 63043:2020 Renewable Energy Power Forecasting Technology standard is an essential resource for professionals in the energy sector, providing comprehensive guidelines and methodologies for predicting energy output from renewable sources.

Overview

This standard, identified by the number PD IEC TR 63043:2020, was released on December 11, 2020. It spans 142 pages of detailed information and is recognized as a critical document for those involved in the planning, operation, and management of renewable energy systems. The standard is published under the ISBN 978 0 539 16333 9 and holds the status of a recognized standard in the field.

Key Features

• Comprehensive Guidelines: The document provides a thorough framework for forecasting technologies, ensuring that users can implement the most effective strategies for energy prediction.
• Advanced Methodologies: It includes state-of-the-art methodologies that leverage the latest advancements in technology and data analysis to enhance forecasting accuracy.
• Industry Relevance: As a standard, it is widely accepted and utilized across the renewable energy sector, making it a valuable asset for professionals and organizations aiming to stay ahead in the industry.

Benefits of Renewable Energy Power Forecasting

Accurate power forecasting is vital for several reasons:

• Grid Stability: By predicting energy output, grid operators can better manage supply and demand, reducing the risk of blackouts and ensuring a stable energy supply.
• Cost Efficiency: Forecasting allows for more efficient energy production, minimizing waste and reducing operational costs.
• Environmental Impact: Optimizing renewable energy use helps reduce reliance on fossil fuels, contributing to a cleaner, more sustainable environment.

Who Should Use This Standard?

The PD IEC TR 63043:2020 standard is designed for a wide range of professionals in the energy sector, including:

• Energy Planners: Those involved in the strategic planning of energy resources will find the forecasting techniques invaluable for long-term decision-making.
• Grid Operators: Operators responsible for maintaining grid stability can use the standard to enhance their forecasting capabilities and improve grid management.
• Renewable Energy Developers: Developers looking to optimize the performance of their renewable energy projects will benefit from the insights and methodologies provided.

Conclusion

The PD IEC TR 63043:2020 Renewable Energy Power Forecasting Technology standard is an indispensable tool for anyone involved in the renewable energy sector. By providing a robust framework for power forecasting, it empowers professionals to enhance energy production, improve grid stability, and contribute to a more sustainable future. With its comprehensive guidelines and advanced methodologies, this standard is a must-have resource for staying at the forefront of renewable energy technology.

PD IEC TR 63043:2020

This standard PD IEC TR 63043:2020 Renewable energy power forecasting technology is classified in these ICS categories:

• 29.020 Electrical engineering in general

This Technical Report, which is informative in its nature, describes common practices and state of the art for renewable energy power forecasting technology, including general data demands, renewable energy power forecasting methods and forecasting error evaluation. For the purposes of this document, renewable energy refers to variable renewable energy, which mainly comprises wind power and photovoltaic (PV) power – these are the focus of the document. Other variable renewable energies, like concentrating solar power, wave power and tidal power, etc., are not presented in this document, since their capacity is small, while hydro power forecasting is a significantly different field, and so not covered here.

The objects of renewable energy power forecasting can be wind turbines, or a wind farm, or a region with lots of wind farms (respectively PV systems, PV power stations and regions with high PV penetration). This document focuses on providing technical guidance concerning forecasting technologies of multiple spatial and temporal scales, probabilistic forecasting, and ramp event forecasting for wind power and PV power.

This document outlines the basic aspects of renewable energy power forecasting technology. This is the first IEC document related to renewable energy power forecasting. The contents of this document will find an application in the following potential areas:

• support the development and future research for renewable energy power forecasting technology, by showing current state of the art;

• evaluation of the forecasting performance during the design and operation of renewable energy power forecasting system;

• provide information for benchmarking renewable forecasting technologies, including methods used, data required and evaluation techniques.