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

Srinivas Singirikonda; Y.P. Obulesu

doi:10.14710/ijred.9.1.43-51

DOI: https://doi.org/10.14710/ijred.9.1.43-51

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

Srinivas Singirikonda, Y.P. Obulesu

School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014, India

Received: 20 Oct 2017; Revised: 12 Jun 2019; Accepted: 22 Dec 2019; Published: 18 Feb 2020; Available online: 15 Feb 2020.

Editor(s): H Hadiyanto

This work is licensed under a Creative Commons Attribution 4.0 International License.

BibTex Citation Data :

@article{IJRED16041,
    author = {Srinivas Singirikonda and Y.P. Obulesu},
    title = {A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources},
    journal = {International Journal of Renewable Energy Development},
  volume = {9},
    number = {1},
    year = {2020},
    keywords = {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},
    abstract = { 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 },
   pages = {43--51}  doi = {10.14710/ijred.9.1.43-51},
    url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/16041}
}

Citation Format:

Abstract

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

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Keywords: 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

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Section: Original Research Article

Language : EN

In Vol 9, No 1 (2020): February 2020

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

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