Research on Reactive Power Optimization for Distribution Network Based on Dual Population Improved Ant Colony Algorithm | Zendy

Yiran Jiang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Research on Reactive Power Optimization for Distribution Network Based on Dual Population Improved Ant Colony Algorithm

Author(s) -

Yiran Jiang

Publication year - 2020

Publication title -

scientific and social research

Language(s) - English

Resource type - Journals

ISSN - 2661-4332

DOI - 10.36922/ssr.v2i3.997

Subject(s) - ant colony optimization algorithms , mathematical optimization , ac power , population , computer science , metaheuristic , dual (grammatical number) , algorithm , selection (genetic algorithm) , ant colony , power (physics) , heuristic , parallel metaheuristic , meta optimization , voltage , mathematics , engineering , artificial intelligence , art , physics , demography , literature , quantum mechanics , sociology , electrical engineering

Ant Colony Algorithm is a heuristic search algorithm based on probability selection. It fits for solving the reactive power optimization problem of distribution network, but at the same time, easily falling into the problems of local optimal solution. So Dual Population Improved Ant Colony Algorithm is used to study Reactive Power Optimization Solution. Finally, with an actual example calculation and analysis, and node voltage comparison with and without compensation, the results are proved to be satisfactory. It verified the effectiveness and feasibility of the algorithm and the results show that the algorithm has better effect on optimization.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research