Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

机译：基于群体智能的光伏发电系统全球最大功率点跟踪方法比较

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摘要

In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.

机译：在这项研究中，研究了在部分阴影条件（PSC）下运行的光伏发电系统（PGS）的三种基于群体智能（SI）的最大功率点跟踪（MPPT）技术。比较的方法包括粒子群优化（PSO），萤火虫算法（FA）和布谷鸟搜索（CS）。将提供252种不同阴影模式的仿真结果，并得出一些结论。本研究为计划在此领域进行研究的学者提供参考信息。

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来源
《International Conference on Power Electronics and ECCE Asia》|2019年|1-6|共6页
会议地点 Busan(KR)
作者
Kun-Che Ho; Cheng-Chung Lin; F. Selin Bagci; Shun-Chung Wang; Yi-Hua Liu; Yu-Shan Cheng;
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NTUST National Taiwan University of Science and Technology Taipei Taiwan;

LHU University of Science and Technology Taoyuan Taiwan;

Tokyo Metropolitan University Tokyo Japan;

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maximum power point tracking; photovoltaic generation systems; partially shaded conditions;

机译：最大功率点跟踪；光伏发电系统；部分阴影条件;

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1. A hybrid global maximum power point tracking method based on butterfly particle swarm optimization and perturb and observe algorithms for a photovoltaic system under partially shaded conditions [J] . Mathi Dileep Krishna, Chinthamalla Ramulu European transactions on electrical power engineering . 2020,第10期

机译：基于蝴蝶粒子群优化和扰动的混合全局最大功率点跟踪方法，包括部分阴影条件下光伏系统的探测算法
2. Fuzzy SVPWM-based inverter control realisation of grid integrated photovoltaic-wind system with fuzzy particle swarm optimisation maximum power point tracking algorithm for a grid-connected PV/wind power generation system: hardware implementation [J] . Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Electric Power Applications, IET . 2018,第7期

机译：光伏并网发电系统中基于模糊SVPWM的光伏并网风电逆变器控制模糊粒子群优化最大功率跟踪算法
3. Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems [J] . Kuei-Hsiang Chao, Long-Yi Chang, Hsueh-Chien Liu International Journal of Photoenergy . 2013,第Pta3期

机译：基于改进粒子群算法的光伏系统最大功率点跟踪方法
4. Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system [C] . Kun-Che Ho, Cheng-Chung Lin, F. Selin Bagci, International Conference on Power Electronics and ECCE Asia . 2019

机译：基于Swarm智能的基于智能的最大功率点跟踪方法的光伏发电系统的比较
5. Partial Shading in Photovoltaic Cells Using Fuzzy Logic Tuned Particle Swarm Optimization Method of Maximum Power Point Tracking Control [D] . ?Mohammed Abdul, Nauman Moiz 2020

机译：使用模糊逻辑调谐粒子群优化方法的光伏电池局部遮蔽最大功率点跟踪控制
6. Random Forest-Based Approach for Maximum Power Point Tracking of Photovoltaic Systems Operating under Actual Environmental Conditions [O] . Hussain Shareef, Ammar Hussein Mutlag, Azah Mohamed 2017

机译：基于随机森林的方法来跟踪在实际环境条件下运行的光伏系统的最大功率点
7. Maximum Power Point Tracking Control by Particle Swarm Optimization for Photovoltaic Power Generation System during the Partial Shading Condition [O] . Shunya Tsukada, Toshimasa Haneyoshi, Atsushi Umemura 2013

机译：粒子群优化在部分着色状态下的光伏发电系统粒子群优化的最大功率点跟踪控制

Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

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