Optimizing Power Supply Scheduling for Offshore Stand-Alone Microgrids: A Novel Framework considering Load and Fuel Procurement Uncertainties

Abstract

In offshore stand-alone microgrids, due to the lack of access to the main power grid, energy supply has always been vulnerable to many risks, such as uncertainty in fuel supply for diesel generators (DEGs) and unforeseen changes in renewable energy sources (RESs) and loads. As a result, this paper proposes a novel framework based on the hybrid renewable energy system (HRES) concept to optimize the capacity design and operation of HRES. The proposed framework is implemented on one of the Persian Gulf islands as a case study. This paper uses hybrid IGDT/stochastic optimization techniques for load and PV uncertainties and a novel wind-based method for fuel procurement uncertainties. Using MIP modeling in GAMS, the paper shows that renewable and storage systems can reduce the total cost by 38% and the energy supply cost by 43% compared to conventional energy supply system. Accounting for uncertainties can boost the system robustness and reduce the expected total cost by 16% compared to the deterministic model.