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: Singirikonda, Srinivas (Author), Obulesu, Y.P (Author)
Format: EJournal Article
Published: Center of Biomass & Renewable Energy, Diponegoro University, 2020-02-18.
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001 IJRED_UNDIP_16041_pdf
042 |a dc 
100 1 0 |a Singirikonda, Srinivas  |e author 
100 1 0 |e contributor 
700 1 0 |a Obulesu, Y.P.  |e author 
245 0 0 |a A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources 
260 |b Center of Biomass & Renewable Energy, Diponegoro University,   |c 2020-02-18. 
500 |a https://ejournal.undip.ac.id/index.php/ijred/article/view/16041 
520 |a 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 
540 |a https://creativecommons.org/licenses/by/4.0 
546 |a eng 
690 |a 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 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Renewable Energy Development; Vol 9, No 1 (2020): February 2020; 43-51 
786 0 |n 2252-4940 
787 0 |n https://ejournal.undip.ac.id/index.php/ijred/article/view/16041/pdf 
856 4 1 |u https://ejournal.undip.ac.id/index.php/ijred/article/view/16041/pdf  |z Get Fulltext