Power system reactive power optimization based on the Immune Ant Colony Algorithm

2010 ◽  
Author(s):  
An-zhao Cao ◽  
Xin-yun Xia ◽  
Ling-chun Li
Keyword(s):  
Power System ◽  
Ant Colony Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Ant Colony ◽  
Reactive Power Optimization

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

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yiran Jiang
Keyword(s):  
Ant Colony Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Search Algorithm ◽  
Distribution Network ◽  
Optimal Solution ◽  
Ant Colony ◽  
Reactive Power Optimization ◽  
Heuristic Search Algorithm ◽  
Improved Ant Colony Algorithm

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.

Research on the Reactive Power Optimization

2013 ◽  
Vol 385-386 ◽  
pp. 991-994
Author(s):  
Yan Yan Wang ◽  
Yan Song Li
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Power Optimization ◽  
Low Voltage ◽  
Pso Algorithm ◽  
Reactive Power Optimization ◽  
Voltage Level ◽  
Line Network ◽  
Improved Pso

The power system is facing line losses, low voltage level and some other issues, this article begin with the point of the reactive power optimization, and through with the improved PSO algorithm, we find a way to reduce the line network loss.

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