Optimum battery depth of discharge for off-grid solar PV/battery system
Electric load loss; Genetic algorithms; Multiobjective optimization; Optimization; Secondary batteries; Battery systems; Cost of energies; Depth of discharges; Multi-objective optimization models; Non dominated sorting genetic algorithm (NSGA II); NSGA-II; Off-grid system; Solar PV systems; Loss of...
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2023
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my.uniten.dspace-242712023-05-29T15:22:31Z Optimum battery depth of discharge for off-grid solar PV/battery system Hlal M.I. Ramachandaramurthy V.K. Sarhan A. Pouryekta A. Subramaniam U. 57211335213 6602912020 57203979904 56119220300 57199091461 Electric load loss; Genetic algorithms; Multiobjective optimization; Optimization; Secondary batteries; Battery systems; Cost of energies; Depth of discharges; Multi-objective optimization models; Non dominated sorting genetic algorithm (NSGA II); NSGA-II; Off-grid system; Solar PV systems; Loss of load probability 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 Final 2023-05-29T07:22:31Z 2023-05-29T07:22:31Z 2019 Article 10.1016/j.est.2019.100999 2-s2.0-85073555256 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073555256&doi=10.1016%2fj.est.2019.100999&partnerID=40&md5=61d7b3736ed5021c1a660128e9377cdd https://irepository.uniten.edu.my/handle/123456789/24271 26 100999 Elsevier Ltd Scopus |
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Electric load loss; Genetic algorithms; Multiobjective optimization; Optimization; Secondary batteries; Battery systems; Cost of energies; Depth of discharges; Multi-objective optimization models; Non dominated sorting genetic algorithm (NSGA II); NSGA-II; Off-grid system; Solar PV systems; Loss of load probability |
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57211335213 |
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57211335213 Hlal M.I. Ramachandaramurthy V.K. Sarhan A. Pouryekta A. Subramaniam U. |
| 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_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 |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806428170259267584 |
| score |
13.19449 |