• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2017, Vol. 38 ›› Issue (7): 1-.doi: 10.3969/j.issn.1000-7229.2017.07.001

• 可再生能源电力特性分析、模拟与预测技术 ·栏目主持 黎静华教授· •    下一篇

 分布式光伏发电的特性分析与预测方法综述

 王洪坤1,2,葛磊蛟1,李宏伟2,迟福建3   

  1. 1.天津大学电气自动化与信息工程学院, 天津市 300072; 2. 石河子大学机械电气工程学院,
    新疆维吾尔自治区, 石河子市 832003; 3.国网天津市电力公司,天津市 300055 
  • 出版日期:2017-07-01
  • 作者简介:王洪坤(1975),男,博士研究生,讲师,主要研究方向为智能配电网系统;葛磊蛟(1984),男,博士,讲师,本文通信作者,主要研究方向智能配用电、云计算和大数据;李宏伟(1970),男,硕士,实验师,主要研究方向为电工电子新技术;.迟福建(1978),男,硕士,高级工程师,主要研究方向为电力系统规划与运行。
  • 基金资助:
     基金项目:广东绿色能源技术重点实验室(2008A060301002)
     

 A Review on Characteristic Analysis and Prediction Method of Distributed PV
 

 WANG Hongkun1,2, GE Leijiao1, LI Hongwei2, CHI Fujian3   

  1.  1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China; 
    2. Mechanical and Electrical Institute, Shihezi University, Shihezi 832003, Xinjiang Uygur Autonomous Region, China; 
    3. State Grid Tianjin Electrical Power Company, Tianjin 300055, China
  • Online:2017-07-01
  • Supported by:
     

摘要:  摘要:近年来光伏产业的迅猛发展,分布式光伏大规模推广应用已成为一种趋势。间歇性强的分布式光伏大量接入配电网,给配电网带来了电能质量、谐波等诸多问题,影响了电网的安全稳定运行,分布式光伏发电特性分析与出力预测是有效解决以上问题的重要基础。首先探讨国内外分布式光伏的发展现状;其次,对分布式光伏出力特性、预测方法、预测软件的最新国内外研究进行评述;最后,探讨未来研究的重点内容,以期为我国分布式光伏的推广应用提供建议。

 

关键词:  , 分布式光伏, 概率分布, 出力特性, 预测方法

Abstract:  ABSTRACT:   With the rapid development of photovoltaic (PV) industry in recent years, the application of the large-scale distributed PV has become a trend. A large number of distributed PV with strong intermittent access to the distribution network causes many problems to the distribution network, such as power quality, harmonic and so on, which affects the safe and stable operation of power grid. In order to solve those problems effectively, it is necessary to analyze the characteristics of distributed PV and predict the output of distribution PV power generation. Firstly, this paper analyzes the current situation of the development of distributed PV in China and abroad. Secondly, this paper discusses the latest progress in China and abroad on the output characteristics, prediction technology and prediction software of the distributed PV power generation. Finally, this paper discusses the key contents of the future research of the distributed PV,  in order to provide the suggestions for the popularization and application of large-scale distributed PV in China.

 

Key words:  distributed photovoltaic, probability distribution, output characteristic, prediction method

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