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多时空尺度的风力发电预测方法综述

姜兆宇 贾庆山 管晓宏

自动化学报2019,Vol.45Issue(1):51-71,21.
自动化学报2019,Vol.45Issue(1):51-71,21.DOI:10.16383/j.aas.c180389

多时空尺度的风力发电预测方法综述

A Review of Multi-temporal-and-spatial-scale Wind Power Forecasting Method

姜兆宇 1贾庆山 1管晓宏1

作者信息

  • 1. 清华大学自动化系智能与网络化系统研究中心,北京信息科学与技术国家研究中心,北京 100084
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摘要

Abstract

Wind power is one of the most installed renewable energy resources in the world, and the accuracy of wind power forecasting method directly affects dispatching and operation safety of the power grid. Since scheduling strategy of the power grid has multiple points and is relative to the geographical scope, this paper summarizes wind power forecasting methods from multi-temporal and multi-spatial perspective. Wind power forecasting usually focuses on specific spatial scale and temporal scale, and is finished with limited information, so this paper classifies researches from three aspects above. Firstly, this paper separates existing wind power forecasting methods into three spatial scales, namely a single wind turbine, a wind farm and a group of wind farms. In each spatial scale, we classify methods by whether using meteorological information, and afterwards by temporal scales. Lastly, in each temporal scale, we also summarize the challenges and achievements. This paper wishes researchers would find suitable methodology when dealing with different wind power forecasting tasks.

关键词

多尺度/风力发电/预测方法/时间尺度/空间尺度

Key words

Multi-scale/wind power/forecasting method/temporal scale/spatial scale

引用本文复制引用

姜兆宇,贾庆山,管晓宏..多时空尺度的风力发电预测方法综述[J].自动化学报,2019,45(1):51-71,21.

基金项目

国家重点研究发展计划(2016YFB0901900) (2016YFB0901900)

国家自然科学基金(61673229,61174072,61222302,91224008,61221063,U1301254) (61673229,61174072,61222302,91224008,61221063,U1301254)

111创新引智计划(B06002) (B06002)

北京市科技新星项目(xx2014B056)资助 (xx2014B056)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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