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

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,多需求分配不均等一系列复杂的优化问题。在近些年以及未来我国实现“双碳”目标的过程中,生物质综合能源系统的优化调度是当前研究的热点问题。本文以最小化综合能源系统经济运行成本（包含了燃料、运行以及维护成本）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,其中包含的设备有生物质锅炉以及对应的蒸汽轮机、沼气池、SOFC、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,本文所提出的改进型人工蜂群算法能够节省4.2%与3.1%的运行成本。

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

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 research issues. In this paper, with the objective function of minimizing the economic operation cost (including fuel, operation and maintenance cost) of the integrated energy system and the system safety as the constraint, we propose an artificial bee colony algorithm based on the operation and scheduling method of the biomass fuel cell (SOFC) cooling, heating and power triple-supply integrated energy system, which includes the biomass boiler and the corresponding steam turbine, digester, SOFC and storage tank. The operation and scheduling results show that the improved artificial bee colony algorithm proposed in this paper can save 4.2% and 3.1% of the operation cost.