Journal of Jilin University (Information Science Edition) ›› 2024, Vol. 42 ›› Issue (4): 617-624.

Previous Articles     Next Articles

Simulation Research on Photovoltaic Power Generation MPPT Based on CSA-INC Algorithm

CAO Xue, DONG Haoyang   

  1.  School of Electrical and Information Engineering, Northeastern Petroleum University, Daqing 163318, China

  • Received:2023-07-17 Online:2024-07-22 Published:2024-07-22

Abstract:

A control method based on the combination of the CSA ( Cuckoo Search Algorithm) and the conductivity incremental method INC( Incremental Conductivity method) is proposed to improve the speed and accuracy of the maximum power point tracking as well as to reduce the loss and harmonic content of the output power of the PV power generation system when the PV array is locally shaded. To prevent the algorithm from settling on the local optimal solution in the early stages, the cuckoo algorithm is used for global search. Later, a thorough search within a limited range is carried out using the incremental conductivity method in order to lock the maximum power point. And to see if it satisfies the criteria for grid connected harmonic content, this algorithm applied to grid connected control. Then a different strategy suggested. The results of a simulation model created in Matlab / Simulink demonstrated that the composite algorithm based on CSA paired with the conductivity increment approach has a faster tracking speed, less error, and satisfies the grid connected harmonic content requirements.

Key words: maximum power point tracking, photovoltaic array, cuckoo algorithm, grid connection control

CLC Number: 

  • TP18