中国电力 ›› 2013, Vol. 46 ›› Issue (9): 138-141.DOI: 10.11930/j.issn.1004-9649.2013.9.138.3

• 新能源 • 上一篇    下一篇

风光储系统接入电网优化控制策略研究

李春平1, 杨万清1, 梁英哲2, 王笑楠3   

  1. 1. 大连供电公司,辽宁 大连 116001; 2. 华北电力大学 电气与电子工程学院,北京 102206; 3. 美国加州大学 戴维斯分校 化学工程系,美国 95616
  • 收稿日期:2013-06-09 出版日期:2013-09-23 发布日期:2015-12-10
  • 作者简介:李春平(1963—),男,辽宁铁岭人,高级工程师,从事电网调度及其自动化研究。

Scenery Storage Systems Connected to the Grid Optimization Control Strategy

LI Chun-ping1, YANG Wan-qing1, LIANG Ying-zhe2, WANG Xiao-nan3   

  1. 1. State Grid Dalian Electric Power Bureau, Dalian 116001, China; 2. North China Electric Power University, Institute of Electrical and Electronic Engineering, Beijing 102206, China; 3. Department of Chemical Engineering, University of California, Davis 95616, USA
  • Received:2013-06-09 Online:2013-09-23 Published:2015-12-10

摘要: 风能和太阳能作为主要的清洁能源,受到了人们越来越多的关注。然而这类能源的波动性和间歇性,对其并网产生了很大的影响。主要针对典型风光储系统提出了一种基于模型预测的控制策略,通过优化分配风能、太阳能、电池储能的功能比例,可以在一定程度上解决由于天气突变带来的能量波动,甚至间歇问题,从而提高系统的稳定性。

关键词: 储能, 分布式发电, 动态规划, 系统控制

Abstract: This paper describes the current major energy storage technologies, including electrochemical energy storage, physical storage, and electromagnetic energy storage; analyzes the structure and characteristics of micro-grid system of hybrid power; introduces the dynamic programming-based system control method and simulation results; proposes a model forecast-based control strategy for typical hybrid systems. The energy fluctuations or even intermittent problems caused by sudden change in weather can be solved, to a certain extent, through optimizing the distribution of wind, solar, battery energy storage function ratio, thereby improving system stability.

Key words: energy storage, distribution generation, dynamic programing, system control

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