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Load Frequency Control of Hydro-Hydro System with Fuzzy Logic Controller Considering Non-linearity

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 361))

Abstract

The current work handles Automatic Generation Control (AGC) of an interconnected two area hydro-hydro system. The proposed system is integrated with conventional Proportional Integral (PI) as well as Fuzzy Logic Controller (FLC). Since, the conventional PI controller does not offer sufficient control performance. Thus, non-linearities such as the Generation Rate Constraint (GRC) and Governor Dead Band (GDB) are included in the system in order to overcome this drawback with employing Fuzzy Logic Controller (FLC) in the system. The results reported the time domain simulation that used to study the performance, when 1% step load disturbance is given in either area of the system. Furthermore, the conventional PI controller simulation results are compared to fuzzy logic controller. The simulation results depicted that the FLC achieved superior control performance.

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Abbreviations

Δ:

Deviation

i:

Subscript referred to area (1, 2)

f:

Nominal system frequency

Kpi:

Gain constant of generator

Tpi:

Time constant of a generator

Pri:

Rated area power

T1, T3:

Time constants of hydro governor

T2:

Mechanical governor reset time constant

Tw:

Water starting time

Kdc:

Gain associated with dc link

Tdc:

Time constant of dc link

T12:

Synchronizing coefficient

Ptie:

Tie line power

Pdi:

Load disturbance

Ri:

Governor speed regulation parameter

Bi:

Frequency bias constant

KP:

Proportional controller gain

Ki:

Integral controller gain

a12:

Pr1/Pr2

ACE:

Area Control Error

LFC:

Load Frequency Control

J:

Cost index

T:

Sampling time period

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Author information

Authors and Affiliations

  1. Department of EEE, Mahendra Institute of Engineering & Technology, Namakkal, Tamilnadu, India

    K. Jagatheesan

  2. Department of EEE, Hindusthan College of Engineering & Technology, Coimbatore, Tamilnadu, India

    B. Anand

  3. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

  4. Department of Electronics and Electrical Communications Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

  5. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

Authors
  1. K. Jagatheesan
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  2. B. Anand
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  3. Nilanjan Dey
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  4. Amira S. Ashour
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  5. Valentina E. Balas
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Corresponding author

Correspondence to K. Jagatheesan .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

  3. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

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Jagatheesan, K., Anand, B., Dey, N., Ashour, A.S., Balas, V.E. (2018). Load Frequency Control of Hydro-Hydro System with Fuzzy Logic Controller Considering Non-linearity. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-75408-6_24

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  • Online ISBN: 978-3-319-75408-6

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