Design and analysis of a renewable energy power system for shale oil exploitation using hierarchical optimization

Xiyun Yang, Siqu Liu, Le Zhang, Jianzheng Su and Tianze Ye

Energy, 2020, vol. 206, issue C

Abstract: The exploitation of shale oil resources has attracted the wide attention. Using traditional fossil fuel as power supply for shale oil in-situ electric heating mining has an impact on the environment. In this paper, we propose a renewable energy microgrid system as a power supply for in-situ heating mining system of shale oil. A hierarchical optimization model was developed to optimize the capacity allocation of the microgrid components, which employs HOMER to initial optimization, then an improved multi-objective particle swarm algorithm with the lowest the economic cost function and the annual load shortage rate index of the system is implemented. A hierarchical hybrid strategy game method is used to screen the generated Pareto set to meet the different preferences of decision-makers. The sensitivity analysis of system reserve capacity, wind resources, and wind turbine prices was carried out. The simulation results using data from a demonstration project in China verified that the proposed method optimized the use of renewable energy, reduced the operating costs and produced positive environmental benefits. The results of this study provide a useful reference for decision-makers to plan the power supply scheme of shale oil extraction by in-situ electric heating.

Keywords: Shale oil; HOMER software; Hierarchical optimization; Improved multi-objective particle swarm algorithm (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:206:y:2020:i:c:s0360544220311853

DOI: 10.1016/j.energy.2020.118078

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