Multi-objective Cuckoo Boundary Search based Partitioning Flexible Interconnection Grid Planning Method

The stochastic and volatile nature of large-scale new energy grid integration has posed a major challenge to the new power system. In this paper, we firstly introduce the reliability indicator system for planning the AC-DC interconnected main grid, which accounts for the spatio-temporal distribution, and then we comprehensively assess and optimize the reliability of AC/DC hybrid grid based on the spatio-temporal distribution characteristics. Secondly, an optimization problem is constructed to optimize different performance indicators in a compromise manner. Thirdly, a multi-objective cuckoo search optimization based partitioning flexible interconnection grid planning algorithm is proposed, which is able to quickly find the global optimal solution or near-optimal solution, adapting to the system demand changes and taking into account a variety of practical constraints. Finally, simulation results verify that the proposed algorithm improves the convergence performance by 37.15% and $\mathbf{5 9. 3 1 \%}$, and the adaptability by $\mathbf{7 1. 3 2 \%}$ and 78.24%, respectively, compared with the two baseline algorithms.