Application of metaheuristic methods to reactive power planning: a comparative study for GA, PSO and EPSO

2007 ◽  
Author(s):  
Mehdi Eghbal ◽  
E.E. El-Araby ◽  
Naoto Yorino ◽  
Yoshifumi Zoka
Keyword(s):  
Comparative Study ◽  
Reactive Power ◽  
Metaheuristic Methods ◽  
Reactive Power Planning

A novel adequate bi-level reactive power planning strategy

2016 ◽  
Vol 78 ◽  
pp. 897-909 ◽  
Author(s):  
Abdullah M. Shaheen ◽  
Ragab A. El-Sehiemy ◽  
Sobhy M. Farrag
Keyword(s):  
Reactive Power ◽  
Planning Strategy ◽  
Reactive Power Planning

Distribution Network Reactive Power Planning Based on Improved Evolutionary Strategy Theory

2013 ◽  
Vol 732-733 ◽  
pp. 1023-1028
Author(s):  
Si Qing Sheng ◽  
Xing Li ◽  
Yang Lu
Keyword(s):  
Reactive Power ◽  
Distribution Network ◽  
Load Condition ◽  
Optimal Solution ◽  
Evolution Strategy ◽  
Evolutionary Strategy ◽  
Initial Population ◽  
Fitness Value ◽  
Cauchy Mutation ◽  
Reactive Power Planning

In this paper a distribution network reactive power planning mathematical model was established, taking the minimized sum of electrical energy loss at the different load operation modes and the investment for reactive power compensation equipments as objective function to solve the planning question respectively and taking the transformer tap as equality constraint. The evolution strategy is improved, The Euclidean distance is introduced into the formation of the initial population, and the initial population under the max load operation mode is based on the optimal solution of the min load condition. The Cauchy mutation and variation coefficient are introduced into the evolution strategy method. By means of improvement of fitness to ensure diversity of population in early and accuracy of the fitness value.

Optimal long-term reactive power planning using decomposition techniques

1993 ◽  
Vol 26 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Maurice K. Mangoli ◽  
Kwang Y. Lee ◽  
Young Moon Park
Keyword(s):  
Reactive Power ◽  
Decomposition Techniques ◽  
Reactive Power Planning
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