New voltage stabilty index based optimal reactive power planning using Firefly algorithm

2016 ◽  
Author(s):  
Kallippatti Ramsamy Vadivelu ◽  
G. V. Marutheswar
Keyword(s):  
Firefly Algorithm ◽  
Reactive Power ◽  
Reactive Power Planning

scholarly journals Optimal Reactive Power Planning using Firefly Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 3175-3177
Keyword(s):  
Firefly Algorithm ◽  
Reactive Power ◽  
Stability Index ◽  
Flexible Ac Transmission ◽  
Facts Devices ◽  
Power Load ◽  
Reactive Power Planning ◽  
Ac Transmission ◽  
Systems Effectiveness ◽  
Time Systems

this article Firefly Algorithm is used as evolutionary technique for the best assignment of flexible AC transmission systems (FACTS) is a unified system. Reactive Power load taken base to 125% base loading and the system presence with FACTS devices. The lines and buses recognized to connect the FACTS devices using New Voltage Stability Index (NVSI).FACTS devices along with reactive generation of generators using Firefly algorithm. The test and Validation is performed on IEEE 30 bus and 72 bus Real time systems. Effectiveness of placement of FACTS devices is established by comparing the results reported in literature

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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