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A Competent LFR in Renewable Energy Micro-grid Cluster Utilizing BESO Technique

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Third Congress on Intelligent Systems (CIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 613))

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Abstract

This paper investigates the load frequency regulation of two interconnected areas consisting of dish stirling solar generator, micro hydro turbine, biogas generator, and flywheel in area 1, whereas wind turbine, tidal generator, biogas generator, and battery in area 2. In addition to it, a super magnetic energy storage device is included in both the areas to damp out the frequency oscillation quickly. After description of the system unit, a collation of the system with various performance indices is carried out to give the dominance of integral square error (ISE) among the performance indices. Furthermore, system frequency and tie-line characteristic are compared utilizing Bald eagle search optimizer (BESO), Black widow optimizer algorithm (BWOA), genetic algorithm (GA), and teaching learning-based optimizer (TLBO). The optimization of tilt integral tilt derivative with filter (TI-TDF), tilt integral derivative with filter (TIDF II), and proportional integral derivative with filter (PIDF) controller parameters is executed using the mentioned algorithms. Moreover, separate case studies are validated to study proposed system performance under various circumstances. The validation shows that the proposed TI-TDF when tuned with BESO performs efficiently and gives minimum error with ISE performance.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, NERIST, Nirjuli, Arunachal Pradesh, India

    O. P. Roy, Sourabh Prakash Roy,  Shubham & A. K. Singh

Authors
  1. O. P. Roy
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  2. Sourabh Prakash Roy
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  3. Shubham
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  4. A. K. Singh
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Corresponding author

Correspondence to Shubham .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    Sandeep Kumar

  2. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  3. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    K. Balachandran

  4. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  5. South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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Roy, O.P., Roy, S.P., Shubham, Singh, A.K. (2023). A Competent LFR in Renewable Energy Micro-grid Cluster Utilizing BESO Technique. In: Kumar, S., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Third Congress on Intelligent Systems. CIS 2022. Lecture Notes in Networks and Systems, vol 613. Springer, Singapore. https://doi.org/10.1007/978-981-19-9379-4_34

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