Dolatabadi, A., Ebadi, R., Mohammadi-Ivatloo, B. (2019). A two-stage stochastic programming model for the optimal sizing of hybrid PV/diesel/battery in hybrid electric ship system. Journal of Operation and Automation in Power Engineering, 7(1), 16-26. doi: 10.22098/joape.2019.4395.1349

A. Dolatabadi; R. Ebadi; B. Mohammadi-Ivatloo. "A two-stage stochastic programming model for the optimal sizing of hybrid PV/diesel/battery in hybrid electric ship system". Journal of Operation and Automation in Power Engineering, 7, 1, 2019, 16-26. doi: 10.22098/joape.2019.4395.1349

Dolatabadi, A., Ebadi, R., Mohammadi-Ivatloo, B. (2019). 'A two-stage stochastic programming model for the optimal sizing of hybrid PV/diesel/battery in hybrid electric ship system', Journal of Operation and Automation in Power Engineering, 7(1), pp. 16-26. doi: 10.22098/joape.2019.4395.1349

Dolatabadi, A., Ebadi, R., Mohammadi-Ivatloo, B. A two-stage stochastic programming model for the optimal sizing of hybrid PV/diesel/battery in hybrid electric ship system. Journal of Operation and Automation in Power Engineering, 2019; 7(1): 16-26. doi: 10.22098/joape.2019.4395.1349

A two-stage stochastic programming model for the optimal sizing of hybrid PV/diesel/battery in hybrid electric ship system

^{}Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Abstract

Ships play the major role in bulk transportation and they need their special energy system. This paper proposes a stochastic programing method for optimal sizing of a hybrid ship power system with energy storage system (ESS), photovoltaic power (PV) and diesel generator. To account for uncertainties, in this study a two-stage stochastic mixed-integer non-linear programing is used to model the optimal design problem of hybrid system for ships. The uncertainty of the hourly global solar irradiation and its effect on the output power of the PV system is taken into account. The probability density function of the global solar radiation follows a normal distribution. The Monte Carlo sampling approach is used to generate the scenarios with a specified probability and a proper scenario reduction method is used to decrease the computational burden of problem. Three cases are studied and the results are presented and compared.

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