Load Frequency Control of Hybrid Power System Using Soft Computing Approach

  • Shashi Kant Pandey
  • Vikas Pandey
  • Sudheer Tiwari
  • S. R. Mohanty
  • V. P. Singh
Conference paper
Part of the Algorithms for Intelligent Systems book series (AIS)


This paper presents the ANFIS based load frequency controllers for LFC of thermal-PV power generation unit as hybrid power system. The cause of deviation in frequency is the unbalance between power supply and demand. Consequently, large deviation in frequency may lead to system collapse. Thus rapid, adaptive and exact controller is required to attain a stable operating point without loss of synchronism. The merit of the proposed controller is to handle the non-linearities’ instantaneously and it is rapid and adaptive in action compare to other controllers. Simulations are executed with different load conditions and solar isolations with the proposed ANFIS based load frequency controllers and results are compared with conventional PI and fuzzy logic (FL) controllers. The results obtained by using ANFIS based load frequency controllers are better than the conventional PI controller, and fuzzy logic controller (FLC). It mostly controls the deviation in frequency of proposed hybrid power system and thereby improves the dynamic performance. The performance of proposed controller is better than those obtained by conventional PI controller and FLC.


Adaptive neuro-fuzzy controller Hybrid power system Maximum power point tracking Load frequency control Distributed generation 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Shashi Kant Pandey
    • 1
  • Vikas Pandey
    • 2
  • Sudheer Tiwari
    • 3
  • S. R. Mohanty
    • 4
  • V. P. Singh
    • 1
  1. 1.Department of Electrical EngineeringRECSonbhadraIndia
  2. 2.Department of Electrical EngineeringNITTTRChandigarhIndia
  3. 3.Department of Electrical EngineeringSIETAllahabadIndia
  4. 4.Department of Electrical EngineeringIIT, BHUVaranasiIndia

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