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Can I read Research on MPPT control strategy of photovoltaic cells under multi-peak on EtoBox?
Research on MPPT control strategy of photovoltaic cells under multi-peak by Zhou, Chun-guang (author);Huang, Liang (author);Ling, Zai-xun (author);Cui, Yi-bo (author) is a Engineering article available to read on EtoBox.
What is Research on MPPT control strategy of photovoltaic cells under multi-peak about?
Under the condition of partial shadow occlusion, the P-U curve of the photovoltaic array exhibits the characteristics of multipeak output. The traditional maximum power point tracking (MPPT) algorithm is easy to fail, and the particle swarm algorithm, as multi-objective optimization algorithm, is characterized by its low volatility and fast convergence speed. It is applied to the optimization process of multi-peak photovoltaic cells. Aiming at the multi-peak output of the photovoltaic array, this paper builds a simulation model based on the standard particle swarm algorithm and the perturbation and observation method through MATLAB/Simulink. The simulation results show that compared with the traditional perturbation and observation method, the standard particle swarm algorithm can reduce fluctuations when the power is stable and can quickly track the output multi-peak maximum power point when the light intensity changes suddenly. c
Who reads Research on MPPT control strategy of photovoltaic cells under multi-peak?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Zhou, Chun-guang (author);Huang, Liang (author);Ling, Zai-xun (author);Cui, Yi-bo (author)
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Engineering (Physical Sciences)