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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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 |
work_keys_str_mv |
AT srinivassingirikonda anovelapproachusingadaptiveneurofuzzybaseddroopcontrolstandalonemicrogridinpresencesofmultiplesources AT ypobulesu anovelapproachusingadaptiveneurofuzzybaseddroopcontrolstandalonemicrogridinpresencesofmultiplesources AT srinivassingirikonda novelapproachusingadaptiveneurofuzzybaseddroopcontrolstandalonemicrogridinpresencesofmultiplesources AT ypobulesu novelapproachusingadaptiveneurofuzzybaseddroopcontrolstandalonemicrogridinpresencesofmultiplesources |
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