Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage

Umer Akram; Muhammad Khalid; Saifullah Shafiq

doi:10.1109/IEEEGCC.2017.8448232

Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage

Umer Akram
, Muhammad Khalid
, Saifullah Shafiq

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

4 Scopus citations

Abstract

Optimal sizing of renewable energy sources and associated energy storage system is necessary for efficient, economic and reliable operation of a micro-grid (MG). Under sizing jeopardizes the reliability of the system while over sizing may lead to financial loss. In this study a constraint based iterative search methodology is proposed for the optimal sizing of renewable sources in a grid-connected MG. The basic principle of the proposed technique is higher reliability at a lower possible cost. The technique is made more realistic by considering the forced outage rates of photovoltaic (PV) and wind turbine (WT) and utilization factor of battery energy storage (BES). The proposed technique is validated using the hourly solar irradiation, wind speed and demand data of Dammam region situated in the Eastern province of Saudi Arabia. The simulation results show the effectiveness of the proposed methodology.

Original language	English
Title of host publication	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538627563
DOIs	https://doi.org/10.1109/IEEEGCC.2017.8448232
State	Published - 27 Aug 2018

Publication series

Name	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Battery energy storage and micro-grid
Optimization
Renewable energy sources

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Information Systems and Management
Media Technology
Instrumentation

UN SDGs

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

Access to Document

10.1109/IEEEGCC.2017.8448232

Cite this

Akram, U., Khalid, M., & Shafiq, S. (2018). Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage. In 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017 Article 8448232 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEEGCC.2017.8448232

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abstract = "Optimal sizing of renewable energy sources and associated energy storage system is necessary for efficient, economic and reliable operation of a micro-grid (MG). Under sizing jeopardizes the reliability of the system while over sizing may lead to financial loss. In this study a constraint based iterative search methodology is proposed for the optimal sizing of renewable sources in a grid-connected MG. The basic principle of the proposed technique is higher reliability at a lower possible cost. The technique is made more realistic by considering the forced outage rates of photovoltaic (PV) and wind turbine (WT) and utilization factor of battery energy storage (BES). The proposed technique is validated using the hourly solar irradiation, wind speed and demand data of Dammam region situated in the Eastern province of Saudi Arabia. The simulation results show the effectiveness of the proposed methodology.",

keywords = "Battery energy storage and micro-grid, Optimization, Renewable energy sources",

author = "Umer Akram and Muhammad Khalid and Saifullah Shafiq",

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year = "2018",

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doi = "10.1109/IEEEGCC.2017.8448232",

language = "English",

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Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage. / Akram, Umer; Khalid, Muhammad; Shafiq, Saifullah.
2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2018. 8448232 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017).

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

TY - GEN

T1 - Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage

AU - Akram, Umer

AU - Khalid, Muhammad

AU - Shafiq, Saifullah

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Optimal sizing of renewable energy sources and associated energy storage system is necessary for efficient, economic and reliable operation of a micro-grid (MG). Under sizing jeopardizes the reliability of the system while over sizing may lead to financial loss. In this study a constraint based iterative search methodology is proposed for the optimal sizing of renewable sources in a grid-connected MG. The basic principle of the proposed technique is higher reliability at a lower possible cost. The technique is made more realistic by considering the forced outage rates of photovoltaic (PV) and wind turbine (WT) and utilization factor of battery energy storage (BES). The proposed technique is validated using the hourly solar irradiation, wind speed and demand data of Dammam region situated in the Eastern province of Saudi Arabia. The simulation results show the effectiveness of the proposed methodology.

AB - Optimal sizing of renewable energy sources and associated energy storage system is necessary for efficient, economic and reliable operation of a micro-grid (MG). Under sizing jeopardizes the reliability of the system while over sizing may lead to financial loss. In this study a constraint based iterative search methodology is proposed for the optimal sizing of renewable sources in a grid-connected MG. The basic principle of the proposed technique is higher reliability at a lower possible cost. The technique is made more realistic by considering the forced outage rates of photovoltaic (PV) and wind turbine (WT) and utilization factor of battery energy storage (BES). The proposed technique is validated using the hourly solar irradiation, wind speed and demand data of Dammam region situated in the Eastern province of Saudi Arabia. The simulation results show the effectiveness of the proposed methodology.

KW - Battery energy storage and micro-grid

KW - Optimization

KW - Renewable energy sources

UR - https://www.scopus.com/pages/publications/85053899421

U2 - 10.1109/IEEEGCC.2017.8448232

DO - 10.1109/IEEEGCC.2017.8448232

M3 - Conference contribution

AN - SCOPUS:85053899421

SN - 9781538627563

T3 - 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

BT - 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Optimizing a grid-connected micro-grid with optimal renewable generation and battery energy storage

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this