Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 14, Issue 12, Pages 5509-5517Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2018.2824811
Keywords
Conditional value-at-risk (CVaR); energy storage system (ESS); hybrid merchant marine vessel power system; photovoltaic (PV) generation; stochastic programming
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This paper presents a risk-based stochastic model to sizing a photovoltaic (PV) /diesel/storage hybrid power system of a merchant marine vessel. Integrating renewable, in particular PV, energy resources offer significant advantages to bulk transportation by reducing the greenhouse gas emissions, improving the energy efficiency, and increasing the energy security. To this end, the sizing problem of PV/diesel/storage merchant marine vessel hybrid power system would optimally determine appropriate configuration of the PV system and energy storage system to design hybrid power system of a merchant marine vessel in an optimal and reliable manner. The uncertainty related to the hourly global solar radiation and its effect on the output power of the PV system is taken into account and modeled using proper scenario generation methods. Additionally, the scenario reduction technique is applied for the domination of dimensionality. Furthermore, an appropriate risk measurement, the conditional value-at-risk methodology, is incorporated with the proposed stochastic model to quantify the potential risk of sizing the problem. Finally, the proposed model is applied to a comprehensive test case to illustrate the efficiency and the applicability of the proposed approach.
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