ZHU Jianjun,ZHANG Yanru,WANG Qiang,et al.Economic day-ahead scheduling of SOFC and biomass-based integrated tri-generation energy system using artificial bee colony algorithm[J].Agricultural Engineering,2023,13(7):42-49. DOI: 10.19998/j.cnki.2095-1795.2023.07.007
Citation: ZHU Jianjun,ZHANG Yanru,WANG Qiang,et al.Economic day-ahead scheduling of SOFC and biomass-based integrated tri-generation energy system using artificial bee colony algorithm[J].Agricultural Engineering,2023,13(7):42-49. DOI: 10.19998/j.cnki.2095-1795.2023.07.007

Economic Day-ahead Scheduling of SOFC and Biomass-based Integrated Tri-generation Energy System using Artificial Bee Colony Algorithm

  • In 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 process of achieving goal of "double carbon" in China, more and more problems of optimal scheduling of biomass integrated energy systems have become hot research issues.With objective function of minimizing economic operation cost(including fuel, operation and maintenance cost)of integrated energy system and system safety as constraint, an artificial bee colony algorithm was proposed based on operation and scheduling method of biomass fuel cell(SOFC)cooling, heating and power triple-supply integrated energy system, which included biomass boiler and corresponding steam turbine, digester, SOFC and storage tank.Operation and scheduling results showed that improved artificial bee colony algorithm proposed could save 4.2% and 3.1% of operation cost.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return