Performance Analysis of a Coordinated PID- and UPFC-Based Stabilizer for Stability Improvement

  • Ravi Prakash MahobiaEmail author
  • Shimpy Ralhan
  • Mahesh Singh
  • Ritu Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1089)


In this paper, proportional–integral–derivative controller variables are tuned by the two algorithms, namely genetic algorithm and ant colony optimization, which are used to design the proposed power system having UPFC. These optimization algorithms are well-known and mostly used in finding the variables of PID controller. The computational methods improve the parameters of the proposed system, and attributes that are obtained are also stable in nature. System which has been scheduled with the GA-PID and ACO-PID controller has been modeled by application of MATLAB. The performance of ACO-PID is better than GA-PID, establishes the fact that ACO-PID system achieves faster response.


Genetic algorithm Ant colony optimization Proportional–integral–derivative Unified power flow controller 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ravi Prakash Mahobia
    • 1
    Email author
  • Shimpy Ralhan
    • 1
  • Mahesh Singh
    • 1
  • Ritu Sharma
    • 1
  1. 1.Department of EEESSGI-SSTCBhilaiIndia

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