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

Abstract

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.