引用本文:杨博,钟林恩,朱德娜,束洪春,张孝顺,余涛.部分遮蔽下改进樽海鞘群算法的光伏系统最大功率跟踪[J].控制理论与应用,2019,36(3):339~352.[点击复制]
YANG Bo,ZHONG Lin-en,ZHU De-na,SHU Hong-chun,ZHANG Xiao-shun,YU Tao.Modified salp swarm algorithm based maximum power point tracking of power-voltage system under partial shading condition[J].Control Theory and Technology,2019,36(3):339~352.[点击复制]
部分遮蔽下改进樽海鞘群算法的光伏系统最大功率跟踪
Modified salp swarm algorithm based maximum power point tracking of power-voltage system under partial shading condition
摘要点击 3129  全文点击 711  投稿时间：2018-11-19  修订日期：2019-01-25
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DOI编号  10.7641/CTA.2019.80899
  2019,36(3):339-352
中文关键词  光伏系统；部分遮蔽条件；改进樽海鞘群算法  文化基因算法；最大功率跟踪
英文关键词  photovoltaic system  partial shading conditions  modified salp swarm algorithm  memetic algorithm  maximum power point tracking
基金项目  国家自然科学基金项目(51667010, 51777078), 云南省应用基础研究计划项目-青年项目 (2018FD036)资助
作者单位E-mail
杨博 昆明理工大学电力工程学院 yangbo_ac@outlook.com 
钟林恩 昆明理工大学电力工程学院  
朱德娜 昆明理工大学电力工程学院  
束洪春 昆明理工大学电力工程学院  
张孝顺* 汕头大学工学院 xszhang1990@sina.cn 
余涛 华南理工大学电力学院  
中文摘要
      部分遮蔽条件(partial shading condition)会使光伏系统的功率–电压(P--V)特性曲线出现多个峰值, 常规的最 大功率跟踪(MPPT)算法易陷入局部最大功率点(LMPP)已不再适用. 本文提出了一款新型启发式算法, 即改进樽海 鞘群算法(MSSA), 用于部分遮蔽条件下光伏系统MPPT. MSSA在原有樽海鞘群算法(SSA)的基础上, 引入了文化基 因算法(memetic algorithm), 以樽海鞘链为种群单位, 采用多个樽海鞘链同时进行独立寻优, 以提高算法全局搜索和 局部探索的能力; 同时, 通过群落中所有樽海鞘间的信息交流, 重组产生新的樽海鞘链, 以提高算法的收敛稳定性. 本文通过3个算例对MSSA的优化性能进行了研究, 即恒温恒光照强度、恒温变光照强度和变温变光照强度. 仿真结 果表明, 与增量电导法(INC)、遗传算法(GA)、粒子群算法(PSO)、灰狼算法(GWO) 和樽海鞘群算法(SSA)相比, 所提 算法能在部分遮蔽条件下快速、稳定地获取最大光能. 最后, 基于dSpace 的硬件在环实验(HIL)验证了所提算法的 硬件可行性.
英文摘要
      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.