| Abstract: |
| This paper applies the innovative idea of DLCI to PV array reconfguration under various PSCs to capture the maximum output power of a PV generation system. DLCI is a hybrid algorithm that integrates multiple meta-heuristic algorithms. Through the competition and cooperation of the search mechanisms of diferent metaheuristic algorithms, the local exploration and global development of the algorithm can be efectively improved to avoid power mismatch of the PV system caused by the algorithm falling into a local optimum. A series of discrete operations are performed on DLCI to solve the discrete optimization problem of PV array reconfguration. Two structures (DLCI-I and DLCI-II) are designed to verify the efect of increasing the number of sub-optimizers on the optimized performance of DLCI by simulation based on 10 cases of PSCs. The simulation shows that the increase of the number of sub-optimizers only gives a relatively small improvement on the DLCI optimization performance. DLCI has a signifcant efect on the reduction in the number of power peaks caused by PSC. The PV array-based reconstruction system of DLCI-II is reduced by 4.05%, 1.88%, 1.68%, 0.99% and 3.39%, when compared to the secondary optimization algorithms. |
| Key words: PV array reconfguration, Partial shading condition, Dynamic leader based collective intelligence,
Maximum power extraction, Total-cross-tied |
| DOI：10.1186/s41601-023-00315-9 |
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| Fund:National Natural Science Foundation of China (61963020,62263014); Yunnan
Provincial Basic Research Project (202201AT070857) |
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