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Investigations on the effect of micro-grid using improved NFIS-PID with hybrid algorithms

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Abstract

For making the grid to be more intelligent, a unique design is required in this changing sphere. A better-automated grid is more important for controlling the variations in the entire system. This is possible by introducing secondary controllers where both power and voltage are shifted at necessary stages. Therefore, in this article, a Neural Fizzy Identification System with Partial Integral Controller (NFISPID) is introduced. Also, a secondary controller named Selective Voltage Pulse Width Modulation with Hybrid Artificial Bee Colony-Particle Swarm Optimization technique is incorporated for handling all false situations in the grid. The efficiency of the proposed system is checked with MATLAB environment where the results prove to be much efficient in terms of all parametric values, and the grid becomes stable within a short span of time than other existing controllers.

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Authors and Affiliations

  1. MOBI-Mobility, Logistics and Automotive Technology Research Centre, Vrije Universiteit Brussel, 1050, Brussels, Belgium

    Yuvaraja Teekaraman

  2. Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore, 562106, India

    Ramya Kuppusamy

  3. School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, India

    V. Indragandhi

Authors
  1. Yuvaraja Teekaraman
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  2. Ramya Kuppusamy
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  3. V. Indragandhi
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Correspondence to Yuvaraja Teekaraman.

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Teekaraman, Y., Kuppusamy, R. & Indragandhi, V. Investigations on the effect of micro-grid using improved NFIS-PID with hybrid algorithms. Computing (2021). https://doi.org/10.1007/s00607-021-01006-9

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  • DOI: https://doi.org/10.1007/s00607-021-01006-9

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