Modified salp swarm algorithm based maximum power point tracking of power-voltage system under partial shading condition

被引：1
作者：
Yang B. [1 ]
Zhong L.-E. [1 ]
Zhu D.-N. [1 ]
Shu H.-C. [1 ]
Zhang X.-S. [2 ]
Yu T. [3 ]
机构：
[1] Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan
[2] College of Engineering, Shantou University, Shantou, 515063, Guangdong
[3] College of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2019年 / 36卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Maximum power point tracking; Memetic algorithm; Modified salp swarm algorithm; Partial shading conditions; Photovoltaic system;
D O I：
10.7641/CTA.2019.80899
中图分类号：
学科分类号：
摘要：
Partial shading condition (PSC) usually causes multiple peaks in power-voltage (P-V) curve of photovoltaic systems. Conventional maximum power point tracking (MPPT) algorithms are prone to be trapped at a local maximum power point (LMPP), which is inadequate to achieve MPPT in practice. This paper designs a novel MPPT algorithm called modified salp swarm algorithm (MSSA). Based on original salp swarm algorithm (SSA), memetic algorithm is firstly introduced into MSSA. Then, multiple slap chains are employed to improve the global exploration and local exploita-tion. Meanwhile, salp chains are regrouped by information sharing between all salps in community for the enhance-ment of convergence stability. Three case studies are carried out, including constant temperature and constant solar irradiation, constant temperature and varying solar irradiation, as well as varying temperature and varying solar irradia-tion. Simulation results demonstrate that MSSA could achieve the fastest and most stable global MPPT under PSC in comparison to incremental conductance (INC), genetic algorithm (GA), particle swarm optimization (PSO), grey wolf optimizer (GWO), and SSA, Lastly, a dSpace based hardware-in-loop (HIL) test is undertaken which validates the im-plementation feasibility of MSSA. © 2019, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码：339 / 352
页数：13
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