Approximation of Stand-alone Boost Converter Enabled Hybrid Solar-Photovoltaic Controller System

Umesh Kumar Yadav*, V. P. Meena, Umesh Kumar Sahu, V. P. Singh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This proposal is presenting a novel determination of reduced-order (RO) model for higher-order (HO) controller of boost converter enabled hybrid solar-photovoltaic (SPV) stand-alone system. In this work, controller of HO-SPV system is approximated to RO-SPV model by minimizing steady-state errors gain as time-moments (T-Ms) and transient-state errors gain as Markov-parameters (M-Ps) of the HO-SPV system and desired RO-SPV model. Firstly, T-Ms and M-Ps of HO-SPV controller system and RO-SPV controller model are exploited to formulate the fitness function. The minimization of formulated fitness function is done by employing grey-wolf (GW) optimization algorithm. The optimization is accomplished by satisfying the constraints of minimization of steady-state error and confirming the stability of RO model. The matching of steady-state between HO-SPV controller and RO-SPV model is accomplished by matching of first T-Ms of HO-SPV controller and RO-SPV model, whereas Hurwitz criterion is introduced to confirm the stability of RO-SPV model. The step along with impulse and Bode plots is presented to demonstrate the effectiveness and applicability of the proposed method. The comparative analysis by considering time-domain (TD) specifications and error indices are also provided and discussed for validation of proposed methodology for better understanding.

Original languageEnglish
Title of host publicationIntelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022
EditorsSanjay Sharma, Bidyadhar Subudhi, Umesh Kumar Sahu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages235-248
Number of pages14
ISBN (Print)9789819946334
DOIs
Publication statusPublished - 2023
EventInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022 - Virtual, Online
Duration: 24-11-202226-11-2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1066 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022
CityVirtual, Online
Period24-11-2226-11-22

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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