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Performance Enhancement Using Novel Soft Computing AFLC Approach for PV Power System

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1040))

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Abstract

This work deals the comparison of perturbation and observation (P and O) as well as asymmetrical fuzzy logic controller (AFLC)-based soft computing approach as a maximum power point tracking (MPPT) means for photovoltaic (PV) network. The simulation of PV power system has been realized using both algorithms for different solar insolations. In this work, Cuk converter has been interfaced between PV array and load for smooth MPPT operations. The grid-tied PV system with unity power factor has estimated using MATLAB/SIMULINK approach. Simulation results explain the effectiveness and robustness of AFLC-based MPPT formulation.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Birsa Institute of Technology (Trust), Ranchi, 835217, India

    Neeraj Priyadarshi

  2. Department of Electrical & Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok, Sikkim, India

    Akash Kumar Bhoi

  3. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India

    Sudip Kumar Sahana

  4. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, India

    Pradeep Kumar Mallick

  5. Department of Computer Science and Engineering, ITM University, Vadodara, Gujarat, 391510, India

    Prasun Chakrabarti

Authors
  1. Neeraj Priyadarshi
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  2. Akash Kumar Bhoi
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  3. Sudip Kumar Sahana
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  4. Pradeep Kumar Mallick
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  5. Prasun Chakrabarti
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Corresponding author

Correspondence to Neeraj Priyadarshi .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Division of Information and Communication, Baekseok University, Cheonan-si, Ch’ungch’ong-namdo, Korea (Republic of)

    Gyoo-Soo Chae

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Priyadarshi, N., Bhoi, A.K., Sahana, S.K., Mallick, P.K., Chakrabarti, P. (2020). Performance Enhancement Using Novel Soft Computing AFLC Approach for PV Power System. In: Mallick, P., Balas, V., Bhoi, A., Chae, GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore. https://doi.org/10.1007/978-981-15-1451-7_47

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