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Optimum battery depth of discharge for off-grid solar PV/battery system

In this paper, we propose a multi-objective optimization model that considers the loss of load probability (LLP) and the cost of energy (COE) together with the battery life loss cost and the costs of operation, replacement, and maintenance. These factors form the projected operating framework of the...

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Main Authors: Hlal, M.I., Ramachandaramurthy, V.K., Sarhan, A., Pouryekta, A., Subramaniam, U.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-127632020-07-07T06:36:22Z Optimum battery depth of discharge for off-grid solar PV/battery system Hlal, M.I. Ramachandaramurthy, V.K. Sarhan, A. Pouryekta, A. Subramaniam, U. In this paper, we propose a multi-objective optimization model that considers the loss of load probability (LLP) and the cost of energy (COE) together with the battery life loss cost and the costs of operation, replacement, and maintenance. These factors form the projected operating framework of the off-grid system for which we utilize the non-dominated sorting genetic algorithm (NSGA-II) method. The proposed model includes the depth of discharge (DOD) of the battery, which is determined based on the battery life loss cost. In addition, in the optimal model, the amount of energy flow from the battery bank during the charging and discharging cycles must satisfy the load demand at the lowest cost and with the highest reliability. The results show that the optimal DOD value for a battery in the solar PV system being investigated is 70%, with LLP = 0% and COE = 0.20594 USD/kWh. © 2019 Elsevier Ltd 2020-02-03T03:26:36Z 2020-02-03T03:26:36Z 2019 Article 10.1016/j.est.2019.100999 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description In this paper, we propose a multi-objective optimization model that considers the loss of load probability (LLP) and the cost of energy (COE) together with the battery life loss cost and the costs of operation, replacement, and maintenance. These factors form the projected operating framework of the off-grid system for which we utilize the non-dominated sorting genetic algorithm (NSGA-II) method. The proposed model includes the depth of discharge (DOD) of the battery, which is determined based on the battery life loss cost. In addition, in the optimal model, the amount of energy flow from the battery bank during the charging and discharging cycles must satisfy the load demand at the lowest cost and with the highest reliability. The results show that the optimal DOD value for a battery in the solar PV system being investigated is 70%, with LLP = 0% and COE = 0.20594 USD/kWh. © 2019 Elsevier Ltd
format Article
author Hlal, M.I.
Ramachandaramurthy, V.K.
Sarhan, A.
Pouryekta, A.
Subramaniam, U.
spellingShingle Hlal, M.I.
Ramachandaramurthy, V.K.
Sarhan, A.
Pouryekta, A.
Subramaniam, U.
Optimum battery depth of discharge for off-grid solar PV/battery system
author_facet Hlal, M.I.
Ramachandaramurthy, V.K.
Sarhan, A.
Pouryekta, A.
Subramaniam, U.
author_sort Hlal, M.I.
title Optimum battery depth of discharge for off-grid solar PV/battery system
title_short Optimum battery depth of discharge for off-grid solar PV/battery system
title_full Optimum battery depth of discharge for off-grid solar PV/battery system
title_fullStr Optimum battery depth of discharge for off-grid solar PV/battery system
title_full_unstemmed Optimum battery depth of discharge for off-grid solar PV/battery system
title_sort optimum battery depth of discharge for off-grid solar pv/battery system
publishDate 2020
_version_ 1672614172801630208
score 13.214268

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