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Research on Large-scale Multi-target Units Combination Model Based on IAFSA

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DOI: 10.23977/jnca.2023.080101 | Downloads: 9 | Views: 414


Panpan Deng 1


1 Leshan Vocational and Technical College, Leshan, China

Corresponding Author

Panpan Deng


Because the advantages of new energy units in the whole life cycle of economy and environmental protection have been gradually highlighted. In the large-scale multi-target unit combination problem, more consideration of the composition of new energy units has become the current hot spot. This paper establishes a large-scale multi-target unit combination model, considering the two goals of economic and environmental protection, as well as the power abandonment rate, rotating reserve, unit output and other constraints of new energy units. The multi-target problem is transformed into a single target problem by adopting a multi-target processing scheme based on linear weighting method. The Improved Artificial Fish Swarm Algorithm (IAFSA) iterative hybrid algorithm is proposed. Comparison with Artificial Fish Swarm Algorithm (AFSA) shows that the proposed algorithm can globally search better, achieves more convergence and faster in large-scale and multi-objective convergence conditions.


Unit combination, IAFSA, large-scale, multi-target, rotate the standby constraint


Panpan Deng, Research on Large-scale Multi-target Units Combination Model Based on IAFSA. Journal of Network Computing and Applications (2023) Vol. 8: 1-9. DOI:


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