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Hybrid ITLBO-DE Optimized Fuzzy PI Controller for Multi-area Automatic Generation Control with Generation Rate Constraint

  • Aurobindo BeheraEmail author
  • Tapas Ku Panigrahi
  • Arun Ku Sahoo
  • Prakash Ku Ray
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 77)

Abstract

The paper projects the gains of a fuzzy controller with its parameter being tuned by the hybrid improved teaching learning based optimization and differential evolution (hITLBO-DE). The foremost apprehension with the operation of AGC is satisfying equivalence of generation and gross demand with reference to a system. The frequency and the interline exchange have to be maintained for a stable and reliable operation of the system. The prime motive addressed in this chapter is to scheme a profligate and accurate controller with ability to sustain the frequency for the power system within nominal operating limits. A two-area reheat thermal system with generation rate constraint is considered, and a fuzzy logic with proportional integral controller is included for the enhanced operation in control of the governor and system response. The comparison of the obtained response for the hITLBO-DE to particle swarm optimization (PSO), pattern search (PS) and recently published results with hPSO-PS technique gives a clear view of the improvement in the system response.

Keywords

Automatic generation control (AGC) Fuzzy PI controller Hybrid improved teaching learning based optimization and differential evolution (hITLBO-DE) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Aurobindo Behera
    • 1
    Email author
  • Tapas Ku Panigrahi
    • 1
  • Arun Ku Sahoo
    • 1
  • Prakash Ku Ray
    • 1
  1. 1.Department of Electrical and Electronics EngineeringInternational Institute of Information Technology Bhubaneswar (IIIT BBSR)BhubaneswarIndia

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