Solving dynamic economic dispatch problem of power grid based on hybrid topology crisscross optimization algorithm

Xuancong Xu; Shu Chen; Zibin Zhu; Anbo Meng; Jianfeng Zhang; Huiting Wen; Kailong Zhang

doi:10.1117/12.2646269

23 August 2022 Solving dynamic economic dispatch problem of power grid based on hybrid topology crisscross optimization algorithm

Xuancong Xu, Shu Chen, Zibin Zhu, Anbo Meng, Jianfeng Zhang, Huiting Wen, Kailong Zhang

Author Affiliations +

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233012 (2022) https://doi.org/10.1117/12.2646269
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

In order to solve the problem of slow convergence and local optimum of traditional crisscross algorithm, a hybrid topology crisscross algorithm (HTCSO) is proposed and applied to solve the dynamic economic dispatch problem of power grid. The hybrid topology combining ring regular topology and stochastic topology is adopted to increase the diversity of the population and expand the solution search space, so as to improve the convergence accuracy and convergence rate of CSO algorithm. Experiments on small-scale 10 units system and large-scale 100 units system show that the proposed hybrid topology crisscross algorithm has faster convergence speed and better convergence accuracy compared with other swarm intelligence optimization algorithms, which provides a reference case for real-time accurate dispatching and carbon emission reduction of power grid.

Citation Download Citation

Xuancong Xu, Shu Chen, Zibin Zhu, Anbo Meng, Jianfeng Zhang, Huiting Wen, and Kailong Zhang "Solving dynamic economic dispatch problem of power grid based on hybrid topology crisscross optimization algorithm", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233012 (23 August 2022); https://doi.org/10.1117/12.2646269

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