Voltage and frequency control of microgrids with distributed generations and battery energy storage

Jaber Alshehri; Ahmed Alzahrani; Muhammad Khalid

doi:10.1109/ICRERA47325.2019.8996929

Voltage and frequency control of microgrids with distributed generations and battery energy storage

Jaber Alshehri
, Ahmed Alzahrani
, Muhammad Khalid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In this paper, a proportional-integral (PI) controller has been designed to regulate the frequency and voltage at steady-state conditions for a microgrid (MG) with distributed generations. The MG consists of a diesel synchronous generator and photovoltaic power system coupled with a battery energy storage system (BESS). The methodology is primarily based on differential evolution optimization (DEO) technique and artificial neural network (ANN). The BESS-based PI controller has been designed and optimized for several operating conditions. Consequently, the ANN is trained to restore the system frequency and voltage for any disturbance within a prescribed range. It has been observed that the trained ANN is fairly robust against disturbances within the predefined range. Finally, the simulation results prove the effectiveness of the proposed controller.

Original language	English
Title of host publication	8th International Conference on Renewable Energy Research and Applications, ICRERA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	381-385
Number of pages	5
ISBN (Electronic)	9781728135878
DOIs	https://doi.org/10.1109/ICRERA47325.2019.8996929
State	Published - Nov 2019

Publication series

Name	8th International Conference on Renewable Energy Research and Applications, ICRERA 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Differential evolution optimization
Distributed renewable generation
Energy storage devices
Microgrid
Neural network
Proportional-integral controller

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/ICRERA47325.2019.8996929

Cite this

Alshehri, J., Alzahrani, A., & Khalid, M. (2019). Voltage and frequency control of microgrids with distributed generations and battery energy storage. In 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019 (pp. 381-385). Article 8996929 (8th International Conference on Renewable Energy Research and Applications, ICRERA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA47325.2019.8996929

Alshehri, Jaber ; Alzahrani, Ahmed ; Khalid, Muhammad. / Voltage and frequency control of microgrids with distributed generations and battery energy storage. 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 381-385 (8th International Conference on Renewable Energy Research and Applications, ICRERA 2019).

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title = "Voltage and frequency control of microgrids with distributed generations and battery energy storage",

abstract = "In this paper, a proportional-integral (PI) controller has been designed to regulate the frequency and voltage at steady-state conditions for a microgrid (MG) with distributed generations. The MG consists of a diesel synchronous generator and photovoltaic power system coupled with a battery energy storage system (BESS). The methodology is primarily based on differential evolution optimization (DEO) technique and artificial neural network (ANN). The BESS-based PI controller has been designed and optimized for several operating conditions. Consequently, the ANN is trained to restore the system frequency and voltage for any disturbance within a prescribed range. It has been observed that the trained ANN is fairly robust against disturbances within the predefined range. Finally, the simulation results prove the effectiveness of the proposed controller.",

keywords = "Differential evolution optimization, Distributed renewable generation, Energy storage devices, Microgrid, Neural network, Proportional-integral controller",

author = "Jaber Alshehri and Ahmed Alzahrani and Muhammad Khalid",

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year = "2019",

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language = "English",

series = "8th International Conference on Renewable Energy Research and Applications, ICRERA 2019",

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Alshehri, J, Alzahrani, A & Khalid, M 2019, Voltage and frequency control of microgrids with distributed generations and battery energy storage. in 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019., 8996929, 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 381-385. https://doi.org/10.1109/ICRERA47325.2019.8996929

Voltage and frequency control of microgrids with distributed generations and battery energy storage. / Alshehri, Jaber; Alzahrani, Ahmed; Khalid, Muhammad.
8th International Conference on Renewable Energy Research and Applications, ICRERA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 381-385 8996929 (8th International Conference on Renewable Energy Research and Applications, ICRERA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Voltage and frequency control of microgrids with distributed generations and battery energy storage

AU - Alshehri, Jaber

AU - Alzahrani, Ahmed

AU - Khalid, Muhammad

PY - 2019/11

Y1 - 2019/11

N2 - In this paper, a proportional-integral (PI) controller has been designed to regulate the frequency and voltage at steady-state conditions for a microgrid (MG) with distributed generations. The MG consists of a diesel synchronous generator and photovoltaic power system coupled with a battery energy storage system (BESS). The methodology is primarily based on differential evolution optimization (DEO) technique and artificial neural network (ANN). The BESS-based PI controller has been designed and optimized for several operating conditions. Consequently, the ANN is trained to restore the system frequency and voltage for any disturbance within a prescribed range. It has been observed that the trained ANN is fairly robust against disturbances within the predefined range. Finally, the simulation results prove the effectiveness of the proposed controller.

AB - In this paper, a proportional-integral (PI) controller has been designed to regulate the frequency and voltage at steady-state conditions for a microgrid (MG) with distributed generations. The MG consists of a diesel synchronous generator and photovoltaic power system coupled with a battery energy storage system (BESS). The methodology is primarily based on differential evolution optimization (DEO) technique and artificial neural network (ANN). The BESS-based PI controller has been designed and optimized for several operating conditions. Consequently, the ANN is trained to restore the system frequency and voltage for any disturbance within a prescribed range. It has been observed that the trained ANN is fairly robust against disturbances within the predefined range. Finally, the simulation results prove the effectiveness of the proposed controller.

KW - Differential evolution optimization

KW - Distributed renewable generation

KW - Energy storage devices

KW - Microgrid

KW - Neural network

KW - Proportional-integral controller

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DO - 10.1109/ICRERA47325.2019.8996929

M3 - Conference contribution

AN - SCOPUS:85080874934

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Alshehri J, Alzahrani A, Khalid M. Voltage and frequency control of microgrids with distributed generations and battery energy storage. In 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 381-385. 8996929. (8th International Conference on Renewable Energy Research and Applications, ICRERA 2019). doi: 10.1109/ICRERA47325.2019.8996929

Voltage and frequency control of microgrids with distributed generations and battery energy storage

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this