Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units

  • K. Jagatheesan
  • B. Anand
  • Nilanjan Dey
  • M. A. Ebrahim
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 380)


In this work, electromechanical oscillations in single-area power systems can be effectively reduced by the influence of energy storage unit, and it helps in the load leveling process and performance improvement of the system. This proposed paper describes the application of super magnetic energy storage (SMES) unit and redox flow battery (RFB) in single-area non-reheat, single, and double reheat thermal power system. The commonly used industrial PID controller act as a control strategy and the optimal gain values are obtained using three different cost functions with stochastic particle swarm optimization technique (SPSO). The dynamic performance of the investigated power system is obtained and examined with one percent step load perturbation.


Automatic generation control (AGC) Interconnected power system Energy storage unit Stochastic particle swarm optimization (SPSO) Proportional-integral-derivative controller (PID) 


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Copyright information

© Springer India 2016

Authors and Affiliations

  • K. Jagatheesan
    • 1
  • B. Anand
    • 2
  • Nilanjan Dey
    • 3
  • M. A. Ebrahim
    • 4
  1. 1.Department of EEEMahendra Institute of Engineering and TechnologyNamakkalIndia
  2. 2.Department of EEEHindusthan College of Engineering and TechnologyCoimbatoreIndia
  3. 3.Department of CSEBCETDurgapurIndia
  4. 4.Department of Electrical Engineering, Faculty of Engineering at ShoubraBenha UniversityCairoEgypt

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