A Hybrid Genetic Algorithm Based on Differential Evolution Approach for Optimal Reactive Power Control

2011 ◽  
Vol 3 (10) ◽  
pp. 1-3 ◽  
Author(s):  
D. Godwin Immanuel ◽  
◽  
Dr. G. Selva Kumar Dr. G. Selva Kumar ◽  
Dr.C.Christober Asir Rajan
Keyword(s):  
Genetic Algorithm ◽  
Differential Evolution ◽  
Power Control ◽  
Reactive Power ◽  
Hybrid Genetic Algorithm ◽  
Reactive Power Control ◽  
Evolution Approach

Differential Evolution Algorithm Based Optimal Reactive Power Control for Voltage Stability Improvement

2013 ◽  
Vol 448-453 ◽  
pp. 2357-2362 ◽  
Author(s):  
D. Godwin Immanuel ◽  
G.Selva Kumar ◽  
C.Christober Asir Rajan
Keyword(s):  
Differential Evolution ◽  
Power Control ◽  
Voltage Stability ◽  
Reactive Power ◽  
Differential Evolution Algorithm ◽  
Stability Index ◽  
Test System ◽  
Operating Conditions ◽  
Reactive Power Control ◽  
Evolution Algorithm

Voltage stability assessment plays a major role in planning and operation of power system. This paper presents an efficient approach to solve reactive power control problem for voltage stability improvement. In this approach the voltage stability index is formulated to identify the most vulnerable bus at various operating conditions. The bus with the value of maximum VSI is considered as the most critical bus. To maintain the stability of the system the severity of the load buses has to be minimized. This can be achieved by the optimal settings of control variables using Differential Evolution Algorithm. The effectiveness of the proposed approach has been examined on the standard IEEE 30 bus test system under stressed and contingency condition.

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