Performance Analysis of Automatic Voltage Regulator using Genetic Algorithm Optimization Technique for Various Time Integral Performance Criteria |
Author(s): |
| Ms. Shachi Tiwary , Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh; Mr. Ashraf Jafri, Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh; Mr. Mahesh Singh, SSTC (SSGI), Bhilai; Mrs. Richa Tiwari, Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh; Mr. Kushal Tiwari, Chhattisgarh State Renewable Energy Development Agency (CREDA), Raipur |
Keywords: |
| Adaptive Control, Automatic Voltage Regulator, Transient Stability, Pattern Search, Simulated Annealing, Genetic Algorithm, Particle Swarm Optimization |
Abstract |
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The stability of the system gets affected due to several disturbances caused because of the nonlinear nature of the system. The most important factor is to achieve stable power system, but Controlled operation of power systems is very critical for this reason there is a need of an adaptive control technique. PID controllers are widely used due to their simplicity and ease of re-tuning on-line. Several tuning methods such as Pattern Search (PS), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant colony optimization (ACO) are being used for the optimum setting of PID controller parameters so as to improve the system stability. In this paper the performance of PID controller tuned by genetic algorithm optimisation technique so as to design an optimum controller. |
Other Details |
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Paper ID: IJSRDV6I30803 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 1377-1380 |
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