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风光发电功率与用电负荷预测方法综述

王函 张宁 杜尔顺 阎洁 韩爽 刘永前

全球能源互联网(英文)2022,Vol.5Issue(1):9-30,22.
全球能源互联网(英文)2022,Vol.5Issue(1):9-30,22.DOI:10.14171/j.2096-5117.gei.2022.01.002

风光发电功率与用电负荷预测方法综述

A comprehensive review for wind, solar, and electrical load forecasting methods

王函 1张宁 1杜尔顺 1阎洁 1韩爽 1刘永前1

作者信息

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摘要

Abstract

Wind power, solar power, and electrical load forecasting are essential works to ensure the safe and stable operation of the electric power system. With the increasing permeability of new energy and the rising demand response load, the uncertainty on the production and load sides are both increased, bringing new challenges to the forecasting work and putting forward higher requirements to the forecasting accuracy. Most review/survey papers focus on one specific forecasting object (wind, solar, or load), a few involve the above two or three objects, but the forecasting objects are surveyed separately. Some papers predict at least two kinds of objects simultaneously to cope with the increasing uncertainty at both production and load sides. However, there is no corresponding review at present. Hence, our study provides a comprehensive review of wind, solar, and electrical load forecasting methods. Furthermore, the survey of Numerical Weather Prediction wind speed/irradiance correction methods is also included in this manuscript. Challenges and future research directions are discussed at last.

关键词

风光发电功率/用电负荷/预测/数值天气预报/相关性

Key words

Wind power/Solar power/Electrical load/Forecasting/Numerical Weather Prediction/Correlation

引用本文复制引用

王函,张宁,杜尔顺,阎洁,韩爽,刘永前..风光发电功率与用电负荷预测方法综述[J].全球能源互联网(英文),2022,5(1):9-30,22.

基金项目

This work was supported by China Three Gorges Corporation(Key technology research and demonstration application of large-scale source-net-load-storage integration under the vision of carbon neutrality) (Key technology research and demonstration application of large-scale source-net-load-storage integration under the vision of carbon neutrality)

Fundamental Research Funds for the Central Universities?(2020MS021). (2020MS021)

全球能源互联网(英文)

OACSCD

2096-5117

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