A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources

In this paper, a novel Q/P droop control strategy for regulating the voltage and frequency in Standalone micro grid with multiple renewable sources like solar and wind is presented. The frequency and voltage control strategy is applied to a Standalone micro grid with high penetration of intermittent...

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Main Authors: Srinivas Singirikonda, Y.P. Obulesu
Format: Article
Language:English
Published: Diponegoro University 2020-02-01
Series:International Journal of Renewable Energy Development
Subjects:
Online Access:https://ejournal.undip.ac.id/index.php/ijred/article/view/16041
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spelling doaj-ed86096b57c84ecea7e2890667f61b502021-01-02T09:54:10ZengDiponegoro UniversityInternational Journal of Renewable Energy Development2252-49402252-49402020-02-0191435110.14710/ijred.9.1.43-5116104A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple SourcesSrinivas Singirikonda0Y.P. Obulesu1School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014In this paper, a novel Q/P droop control strategy for regulating the voltage and frequency in Standalone micro grid with multiple renewable sources like solar and wind is presented. The frequency and voltage control strategy is applied to a Standalone micro grid with high penetration of intermittent renewable generation system. Adaptive Neuro-Fuzzy logic Interface system (ANFIS) controller is used for frequency and voltage control for Renewable generation system. Battery energy storage system (BESS) is used to generate nominal system frequency instead of using the synchronous generator for frequency control strategy. A synchronous generator is used to maintain the state of charge (SOC) of the BESS, but it has limited capacity. For Voltage control strategy, we proposed reactive power/active power (Q/P) droop control to the conventional reactive power controller which provides voltage damping effect. The induced voltage fluctuations are reduced to get nominal output power. The proposed model is tested on different cases and results show that the proposed method is capable of compensating voltage and frequency variations occurring in the micro grid with minimal rated synchronous generator. ©2020. CBIORE-IJRED. All rights reservedhttps://ejournal.undip.ac.id/index.php/ijred/article/view/16041adaptive neuro-fuzzy interface system (anfis)battery energy storage system (bess)state of charge (soc)frequency controlq/p droop controlstandalone micro gridvoltage damping effectvoltage control
collection DOAJ
language English
format Article
sources DOAJ
author Srinivas Singirikonda
Y.P. Obulesu
spellingShingle Srinivas Singirikonda
Y.P. Obulesu
A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
International Journal of Renewable Energy Development
adaptive neuro-fuzzy interface system (anfis)
battery energy storage system (bess)
state of charge (soc)
frequency control
q/p droop control
standalone micro grid
voltage damping effect
voltage control
author_facet Srinivas Singirikonda
Y.P. Obulesu
author_sort Srinivas Singirikonda
title A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
title_short A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
title_full A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
title_fullStr A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
title_full_unstemmed A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources
title_sort novel approach using adaptive neuro fuzzy based droop control standalone microgrid in presences of multiple sources
publisher Diponegoro University
series International Journal of Renewable Energy Development
issn 2252-4940
2252-4940
publishDate 2020-02-01
description In this paper, a novel Q/P droop control strategy for regulating the voltage and frequency in Standalone micro grid with multiple renewable sources like solar and wind is presented. The frequency and voltage control strategy is applied to a Standalone micro grid with high penetration of intermittent renewable generation system. Adaptive Neuro-Fuzzy logic Interface system (ANFIS) controller is used for frequency and voltage control for Renewable generation system. Battery energy storage system (BESS) is used to generate nominal system frequency instead of using the synchronous generator for frequency control strategy. A synchronous generator is used to maintain the state of charge (SOC) of the BESS, but it has limited capacity. For Voltage control strategy, we proposed reactive power/active power (Q/P) droop control to the conventional reactive power controller which provides voltage damping effect. The induced voltage fluctuations are reduced to get nominal output power. The proposed model is tested on different cases and results show that the proposed method is capable of compensating voltage and frequency variations occurring in the micro grid with minimal rated synchronous generator. ©2020. CBIORE-IJRED. All rights reserved
topic adaptive neuro-fuzzy interface system (anfis)
battery energy storage system (bess)
state of charge (soc)
frequency control
q/p droop control
standalone micro grid
voltage damping effect
voltage control
url https://ejournal.undip.ac.id/index.php/ijred/article/view/16041
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