Economic Day-ahead scheduling of SOFC and biomass-based Integrated Tri-generation Energy System using artificial bee colony algorithm

Abstract

In the process of operation, integrated energy systems encounter a series of complex optimization problems such as complex conversion of multiple types of energy, coupling of multiple types of equipment, and uneven distribution of multiple demands. In recent years and in the process of achieving the goal of "double carbon" in China, more and more problems of optimal scheduling of biomass integrated energy systems have become hot topics of research. In this paper, we propose an artificial bee colony algorithmbased operation and scheduling method for a biomass fuel cell (SOFC) cooling, heating, and power triplesupply system with the objective function of maximizing the economic profit of the integrated energy system (including fuel, operation, and maintenance costs), and the constraints of energy conservation, system safety, and operation state. The equipment included are biomass boiler and corresponding steam turbine, biogas digester, SOFC, gas storage tank, etc. The results of the algorithm include the economic benefits of using the artificial bee colony algorithm for the same load scenario. The operational scheduling results show that the artificial bee colony algorithm is able to maximize the profitability of the integrated energy system while reducing carbon emissions.

Keywords

• integrated energy system
• optimal design
• biomass
• artificial bee colony algorithm