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Your search keyword '"Yifeng, MENG"' showing total 11 results
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11 results on '"Yifeng, MENG"'

1. Maximum Power Point Tracking Control Method of Photovoltaic Cell under Shadow Influence

Author

Yifeng Meng

Subjects
shadow effect, photovoltaic cells, maximum power, tracking control, Science, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
Abstract

In view of the poor effect of battery power tracking control in the current solar power generation system, the maximum power point tracking (MPPT) control method of photovoltaic cell under the influence of shadow is proposed. The MPPT control method of photovoltaic cell is optimized by using the influence of shadow, the structural characteristics of photovoltaic cell are optimized, and the voltage rise and fall DC / DC conversion circuit is adopted, The maximum power identification algorithm of photovoltaic cells is set, and the voltage disturbance method is used to realize the MPPT, so that the solar photovoltaic cells always maintain the maximum power output, so as to ensure the control effect. Finally, the experiment shows that the MPPT control method of photovoltaic cells has high practicability and fully meets the research requirements.

Published
2024
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2. Collaborative optimization of high proportion renewable energy system based on Improved PSO algorithm

Author

Yifeng Meng

Subjects
Mathematical optimization, Computer science, Renewable energy system, Particle swarm optimization, Collaborative optimization
Abstract

Due to the uncertainty of renewable energy, the high proportion of renewable energy system has low cooperative scheduling capability and high cost. Therefore, based on the improved PSO algorithm, a high proportion of renewable energy system collaborative optimization method is proposed. Firstly, the framework and decomposition mechanism of transmission and distribution collaborative scheduling of renewable energy system are set up. Then, based on the analysis of the improved PSO algorithm strategy, the reactive power optimization method of renewable energy system is designed based on MSI-PSO algorithm. Firstly, the mathematical model of high proportion renewable energy system is proposed and solved, so as to complete the collaborative optimization. Finally, the simulation analysis shows that the design method has higher collaborative scheduling ability and lower cost, which proves that the collaborative optimization method of high proportion renewable energy system based on Improved PSO algorithm is effective.

Published
2021

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