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朱建军,张雁茹,王强,等.基于人工蜂群优化算法的SOFC耦合生物质综合能源系统日前经济调度[J].农业工程,2023,13(7):42-49. DOI: 10.19998/j.cnki.2095-1795.2023.07.007
引用本文: 朱建军,张雁茹,王强,等.基于人工蜂群优化算法的SOFC耦合生物质综合能源系统日前经济调度[J].农业工程,2023,13(7):42-49. DOI: 10.19998/j.cnki.2095-1795.2023.07.007
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

基于人工蜂群优化算法的SOFC耦合生物质综合能源系统日前经济调度

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

  • 摘要: 综合能源系统在运行过程中会遇到多种类能源复杂转换、多类型设备互相耦合及多需求分配不均等一系列复杂的优化问题。在我国实现“双碳”目标过程中,生物质综合能源系统的优化调度是当前研究的热点问题。以最小化综合能源系统经济运行成本(包含燃料、运行及维护成本)为目标函数,以系统安全为约束,提出了基于人工蜂群算法的燃料电池(SOFC)耦合生物质冷热电三联供综合能源系统的运行调度方法,其中包含设备有生物质锅炉、蒸汽轮机、沼气池、SOFC和储气罐等。运行调度结果表明,相较于传统的随机规划与动态规划算法的运行调度方法,该研究提出的改进型人工蜂群算法可节省4.2%与3.1%的运行成本。

     

    Abstract: 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.

     

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