中国电力 ›› 2014, Vol. 47 ›› Issue (6): 95-100.DOI: 10.11930/j.issn.1004-9649.2014.6.95.5

• 新能源 • 上一篇    下一篇

基于特征匹配的分布式电源与地区负荷的适应性分析

陈秋南1, 韦钢1, 蔡阳2, 吴万禄1   

  1. 1. 上海电力学院 电气工程学院,上海 200090;
    2. 上海市电力公司 金山供电公司,上海 200540
  • 修回日期:2014-03-28 出版日期:2014-06-18 发布日期:2015-12-08
  • 作者简介:陈秋南(1989—),男,河南平顶山人,硕士研究生,从事分布式发电技术、分布式供电系统电压质量等方面的研究。E-mail: cqnzz.2007@163.com

Analysis of Adaptability of Distributed Generation and Region Load Based on Feature Matching Algorithm

CHEN Qiu-nan1, WEI Gang1, CAI Yang2, WU Wan-lu1   

  1. 1. School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    2. Jinshan Power Supply Company, Shanghai 200540, China
  • Revised:2014-03-28 Online:2014-06-18 Published:2015-12-08
  • About author:This work is supported by Key Discipline Construction Project of Shanghai Education Commission(J51303); Shanghai Higher Education “085” Construction Project; Technology Project of State Grid Corporation (5209311200GW)
  • Supported by:
    上海市教育委员会重点学科建设项目(J51303); 上海高等教育“085”工程建设项目; 国家电网公司科技项目(5209311200GW)

摘要: 为充分发挥分布式电源(distributed generation,DG)优势又保证对负荷经济、可靠供电,在分析各类DG与地区负荷特征基础上,综合考虑经济性、电压质量、供电可靠性和环境效益,提出一种DG与负荷相适应的特征匹配方法,可简单方便地对DG与地区负荷的适应性进行定量分析,为不同负荷地区DG的优选提供指导。算例结果表明:该方法准确直观,可综合考虑各种各样的条件与限制因素,给出较为合理的匹配方案,从而验证了所提方法的可行性与实用性。

关键词: 分布式电源, 地区负荷, 适应性, 特征匹配

Abstract: In order to completely utilize distributed generations (DGs) and ensure stable and economical operation of the loads, a feature matching method based on the analysis of the features of various DGs and region loads is developed. The proposed method mutually adapts DGs and loads by comprehensively considering various facts, in terms of economy, voltage quality, supply reliability and environmental benefits. The method has the ability to easily and quantitatively analyze the adaptability of DGs and region loads, and provide guidance for DGs' selections in different load regions. The results demonstrate that the proposed method is accurate and intuitive and is able to provide a reasonable matching program by taking into account of various conditions and limitations, which can verify the feasibility and practicability of the proposed method.

Key words: distributed generation, region load, adaptability, feature matching algorithm

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