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基于模糊控制与非线性优化的孤立微网能量管理策略

  • 胡峥辉 ,
  • 舒 杰 ,
  • 游林儒 ,
  • 郗晓田 ,
  • 吴志锋 ,
  • 崔 琼 ,
  • 丁建宁
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  • 1. 华南理工大学,自动化科学与工程学院,广州 510640;
    2. 中国科学院广州能源研究所,中国科学院可再生能源重点实验室,广州 510640;
    3. 江苏省光伏科学与工程协同创新中心,江苏 常州 213164
胡峥辉(1991),男,硕士研究生,主要从事微网调度控制技术研究。

收稿日期: 2015-09-22

  修回日期: 2015-10-12

  网络出版日期: 2015-12-30

基金资助

国家自然科学基金资助项目(51206170);
中科院佛山市合作项目(2012HY1006551);
广州市创新平台与共享项目(201509010018)

An Energy Management Strategy Based on Fuzzy Control and Nonlinear Optimization for Isolated Micro-grids

  • HU Zheng-hui ,
  • SHU Jie2 ,
  • YOU Lin-ru ,
  • XI Xiao-tian ,
  • WU Zhi-feng ,
  • CUI Qiong ,
  • DING Jian-ning
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  • 1. College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China;
    2. CAS Key Laboratory of Renewable Energy, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China;
    3. Jiangsu Collaborative Innovation Center of Photovolatic Science and Engineering, Changzhou 213164, Jiangsu, China 

Received date: 2015-09-22

  Revised date: 2015-10-12

  Online published: 2015-12-30

摘要

为减小可再生能源输出功率波动对孤立微网电能质量的影响,本文设计了一种基于模糊控制与非线性优化的能量管理策略并应用于风/光/储/柴构建的微网系统中。以能量平衡、瞬时功率控制、锂离子电池及超级电容混合储能综合协调控制为目标,开展仿真研究,并在已有的150 kW风/光/储/柴微网实验平台上进行了验证。研究表明,在非线性优化的作用下,系统动态响应快、瞬时功率缓冲控制效果好,该策略具有实用价值。

本文引用格式

胡峥辉 , 舒 杰 , 游林儒 , 郗晓田 , 吴志锋 , 崔 琼 , 丁建宁 . 基于模糊控制与非线性优化的孤立微网能量管理策略[J]. 新能源进展, 2015 , 3(6) : 452 -458 . DOI: 10.3969/j.issn.2095-560X.2015.06.007

Abstract

To reduce the output power fluctuation of renewable energy and the establishment cost of the isolated micro-grids, this paper presents an energy management strategy based on fuzzy control and nonlinear optimization. The strategy was applied to a micro-grid system which consists of wind, light and diesel engine storage. We carried out some simulations with aims of power balance, coercion of the instantaneous power, lithium-ion battery and super capacitor storage as the optimization condition. The results were verified on the experimental platform. A numerical example showed that, nonlinear optimization could accelerate the dynamic response of the system and buffer the instantaneous power. These results reveal that such strategy might have practical values.

参考文献

[1] ISE T, KITA M, TAGUCHI A. A hybrid energy storage with a SMES and secondary battery[J]. IEEE Transactions on superconductivity, 2005, 15(2): 1915-1918.

[2] 唐西胜, 齐智平. 平抑间歇式电源功率波动的混合储能系统设计[J]. 电力系统自动化, 2011, 35(20): 24-28.

[3] 黄羚, 蔡涛, 陈天锦, 等. 基于 SOC 调整的光伏电站储能系统调控策略[J]. 电力系统保护与控制, 2013, 41(16): 66-70.

[4] 洪海生, 江全元, 严玉婷. 实时平抑风电场功率波动的电池储能系统优化控制方法[J]. 电力系统自动化, 2013, 37(1): 103-109.

[5] 丁明, 林根德, 陈自年, 等. 一种适用于混合储能系统的控制策略[J]. 中国电机工程学报, 2012, 32(7): 1-6.

[6] 王新刚, 艾芊, 徐伟华, 等. 含分布式发电的微电网能量管理多目标优化[J]. 电力系统保护与控制, 2009, 37(20): 79-83.

[7] 刘梦璇, 郭力, 王成山, 等. 风光柴储孤立微网系统协调运行控制策略设计[J]. 电力系统自动化, 2012, 36(15): 19-24.

[8] 毕锐, 吴建锋, 丁明, 等. 孤立微网多元储能与柴油机协调控制策略[J]. 电力系统自动化, 2014, 38(17): 73-97.

[9] CHEN Y K, WU Y C, SONG C C, et al. Design and Implementation of Energy Management System With Fuzzy Control for DC Microgrid Systems[J]. IEEE Transactions on power electronics, 2013, 28(4): 1563-1570.

[10] 吴振威, 蒋小平, 马会萌, 等. 用于混合储能平抑光伏波动的小波包−模糊控制[J]. 中国电机工程学报, 2013, 34(3): 317-324.

[11] PALMA-BEHNKE R, BENAVIDES C, LANAS F, et al. A Microgrid Energy Management System Based on the Rolling Horizon Strategy[J]. IEEE Transactions on smart grid, 2013, 4(2): 996-1006.

[12] GEE A M, DUNN R W. Novel battery supercapacitor hybrid energy storage control strategy for battery life extension in isolated wind energy conversion systems[C]// International Universities Power Engineering Conference. Cardiff, UK: IEEE. 2010. 1-6.

[13] OLIVARES D E, CANIZARES C A, KAZENRANI M. A Centralized Energy Management System for Isolated Microgrids[J]. IEEE Transactions on smart grid, 2014, 5(4): 1864-1875.

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