Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm

Voltage and frequency regulation is one of the greatest challenges for proper operation subsequent to the isolated microgrid. To validate the satisfactory electric power quality supply to customers, the proposed manuscript tries to enhance the quality of energy provided by DG (Distributed generation...

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Main Authors: Yuvaraja Teekaraman, Ramya Kuppusamy, Srete Nikolovski
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/14/2812
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author Yuvaraja Teekaraman
Ramya Kuppusamy
Srete Nikolovski
author_facet Yuvaraja Teekaraman
Ramya Kuppusamy
Srete Nikolovski
author_sort Yuvaraja Teekaraman
collection DOAJ
description Voltage and frequency regulation is one of the greatest challenges for proper operation subsequent to the isolated microgrid. To validate the satisfactory electric power quality supply to customers, the proposed manuscript tries to enhance the quality of energy provided by DG (Distributed generation) units connected to the subsequent isolated grid. Microgrid and simulation-based control structure including voltage and current control feedback loops is proposed for microgrid inverters to recover voltage and frequency of the system subsequently for any fluctuations in load change. The proportional-integral (PI) controller connected to the voltage controller is an end goal to obtain smooth response in most of the consistent frameworks. The present controller creates the space vector pulse width modulation signals which are given to the three-leg inverter. The objective elements of the multiobjective optimization issue are voltage overshoot and undershoot, rise time, settling time, and integral time absolute error (ITAE). The hybrid Multiobjective Symbiotic Organism Search (MOSOS) calculation is associated for self-tuning of control parameters keeping in mind the end goal to deal with the voltage and frequency. The proposed PI controller, along with the hybrid Multiobjective Symbiotic Organism Search algorithm, provides the solution for the greatest challenge of voltage and frequency regulation in an isolated-microgrid operation.
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spelling doaj.art-6fe66db6d7724c479f3b0972f37c157f2022-12-22T04:22:05ZengMDPI AGEnergies1996-10732019-07-011214281210.3390/en12142812en12142812Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search AlgorithmYuvaraja Teekaraman0Ramya Kuppusamy1Srete Nikolovski2Information Communication Convergence Research Center, Gwangju Institute of Science & Technology, Gwangju 61005, KoreaDepartment of Electrical & Electronics Engineering, Sri Sairam College of Engineering, Bangalore 562 106, IndiaPower Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, Osijek 31000, CroatiaVoltage and frequency regulation is one of the greatest challenges for proper operation subsequent to the isolated microgrid. To validate the satisfactory electric power quality supply to customers, the proposed manuscript tries to enhance the quality of energy provided by DG (Distributed generation) units connected to the subsequent isolated grid. Microgrid and simulation-based control structure including voltage and current control feedback loops is proposed for microgrid inverters to recover voltage and frequency of the system subsequently for any fluctuations in load change. The proportional-integral (PI) controller connected to the voltage controller is an end goal to obtain smooth response in most of the consistent frameworks. The present controller creates the space vector pulse width modulation signals which are given to the three-leg inverter. The objective elements of the multiobjective optimization issue are voltage overshoot and undershoot, rise time, settling time, and integral time absolute error (ITAE). The hybrid Multiobjective Symbiotic Organism Search (MOSOS) calculation is associated for self-tuning of control parameters keeping in mind the end goal to deal with the voltage and frequency. The proposed PI controller, along with the hybrid Multiobjective Symbiotic Organism Search algorithm, provides the solution for the greatest challenge of voltage and frequency regulation in an isolated-microgrid operation.https://www.mdpi.com/1996-1073/12/14/2812microgridmultiobjective symbiotic organism search algorithmdroop strategyspace vector pulse width modulationPI controllervoltage source convertervoltage source inverter
spellingShingle Yuvaraja Teekaraman
Ramya Kuppusamy
Srete Nikolovski
Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
Energies
microgrid
multiobjective symbiotic organism search algorithm
droop strategy
space vector pulse width modulation
PI controller
voltage source converter
voltage source inverter
title Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
title_full Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
title_fullStr Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
title_full_unstemmed Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
title_short Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm
title_sort solution for voltage and frequency regulation in standalone microgrid using hybrid multiobjective symbiotic organism search algorithm
topic microgrid
multiobjective symbiotic organism search algorithm
droop strategy
space vector pulse width modulation
PI controller
voltage source converter
voltage source inverter
url https://www.mdpi.com/1996-1073/12/14/2812
work_keys_str_mv AT yuvarajateekaraman solutionforvoltageandfrequencyregulationinstandalonemicrogridusinghybridmultiobjectivesymbioticorganismsearchalgorithm
AT ramyakuppusamy solutionforvoltageandfrequencyregulationinstandalonemicrogridusinghybridmultiobjectivesymbioticorganismsearchalgorithm
AT sretenikolovski solutionforvoltageandfrequencyregulationinstandalonemicrogridusinghybridmultiobjectivesymbioticorganismsearchalgorithm