Optimal Scheduling of Interconnected AC/DC Combined Heat and Power System Microgrids with Multiple Fuel Options

Abstract Hybrid AC/DC microgrids (MGs) represent a significant step to go fast through the evolution of smart grids. The type, size, and location of distributed generation units (DGs) have significant impact on the operational cost and the gas emissions in hybrid AC/DC MGs. DGs can be used to supply AC and/or DC electrical energy to their MG local loads. In addition, DGs can supply AC electrical energy to the utility grid during grid-connected mode. With appropriate DGs fuel options, the operating cost and the gas emissions can be minimized. Furthermore, the power system reliability increases. This paper proposes a scheduling algorithm for hybrid AC/DC MGs with multiple fuel options. The operational cost and the gas emissions have been considered as multi-objectives based on particle swarm optimization (PSO) optimization. The approach was applied to a typical hybrid AC/DC MG as a case study, and the effectiveness of the proposed method was verified.