基于混合粒子群优化的混合储能直流电源系统

doi:10.11930/j.issn.1004-9649.201805113

中国电力 ›› 2019, Vol. 52 ›› Issue (5): 104-112.DOI: 10.11930/j.issn.1004-9649.201805113

基于混合粒子群优化的混合储能直流电源系统

赵昕昕¹, 夏向阳¹, 曾小勇¹, 李新海², 杨明圣¹, 黄智¹, 王志兴²

1. 长沙理工大学电气与信息工程学院, 湖南长沙 410114;
2. 中南大学冶金与环境学院, 湖南长沙 410083

收稿日期:2018-05-21 修回日期:2018-09-17 出版日期:2019-05-05 发布日期:2019-05-14
通讯作者: 夏向阳(1968-),男,通信作者,博士,教授,硕士生导师,研究方向为电力电子技术在电力系统中的应用等方向的研究工作,E-mail:xia_xy@126.com
作者简介:赵昕昕(1994-),男,硕士研究生,从事新能源储能技术研究,E-mail:595710828@qq.com
基金资助:
国家自然科学基金资助项目（51307009）。

Hybrid Energy Storage DC Power Supply System Based on PSO-NM

ZHAO Xinxin¹, XIA Xiangyang¹, ZENG Xiaoyong¹, Li Xinhai², YANG Mingsheng¹, HUANG Zhi¹, WANG Zhixing²

1. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China;
2. School of Metallurgy and Environment, Central South Universty, Changsha 410083, China

Received:2018-05-21 Revised:2018-09-17 Online:2019-05-05 Published:2019-05-14
Supported by:
This work is supported by National Natural Science Foundation of China (No.51307009).

摘要/Abstract

摘要： 目前普遍应用的直流操作电源是由铅酸蓄电池供电，环保性较差、对高频装置响应速度较慢。针对这些问题，采用一种新型混合储能直流电源系统，其储能装置由锂电池和超级电容器构成，并提出一种基于超级电容器SOC的动态限制锂电池功率的混合储能能量管理策略。通过混合粒子群优化算法（PSO-NM）以降低锂电池的瞬时功率为目标离线求解全局最优解，有效提高了锂电池的使用寿命。最后，通过MATLAB/Simulink仿真验证了该方法的有效性，实验测试证明新型直流操作电源响应速度快，供电更加可靠稳定。

关键词: 直流操作电源, 锂电池, 超级电容, 储能系统, 混合粒子群算法, 功率限制

Abstract: DC operation power source is commonly supplied by lead-acid batteries. This method is characterized by slow response speed to high-frequency equipment and environmental contamination. To deal with this problem, the paper proposes a novel hybrid DC power supply system, which consists of lithium batteries and super conductors. A novel energy management strategy, which uses the SOC feedback of the superconductor to limit the power output of the lithium battery, is also presented. The proposed energy management strategy, which is achieved by particle swarm optimization (initially proposed by Nelder Mead), can effectively reduce the instantaneous power output of the lithium battery, thus extending the life span of the equipment. The validity of the proposed approach is demonstrated and verified by Matlab/Simulink and field experiment. Experimental results suggest that the response speed is fast when the proposed strategy is adopted, thus indicating good reliability and engineering value.

Key words: DC power supply, lithium battery, super-capacitor, energy storage system, particle swarm optimization-nelder mead (PSO-NM), power limit

中图分类号:

TM76

赵昕昕, 夏向阳, 曾小勇, 李新海, 杨明圣, 黄智, 王志兴. 基于混合粒子群优化的混合储能直流电源系统[J]. 中国电力, 2019, 52(5): 104-112.

ZHAO Xinxin, XIA Xiangyang, ZENG Xiaoyong, Li Xinhai, YANG Mingsheng, HUANG Zhi, WANG Zhixing. Hybrid Energy Storage DC Power Supply System Based on PSO-NM[J]. Electric Power, 2019, 52(5): 104-112.

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https://www.electricpower.com.cn/CN/Y2019/V52/I5/104

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基于混合粒子群优化的混合储能直流电源系统

Hybrid Energy Storage DC Power Supply System Based on PSO-NM

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基于混合粒子群优化的混合储能直流电源系统

Hybrid Energy Storage DC Power Supply System Based on PSO-NM

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