基于海鸥算法的综合能源系统优化规划研究

Research on Optimal Planning of Integrated Energy System Based on Seagull Algorithm

为了合理规划综合能源系统各能源耦合单元的容量配置,定量评估综合能源系统优势,提出一种基于海鸥算法的综合能源系统规划方法。首先,建立基于电、热、气负荷的3条母线和多能耦合设备模型;其次,采用通过模拟自然界中海鸥迁徙和攻击行为,具有较好的全局寻优和局部寻优能力的海鸥优化算法,对建立的年投资成本最小、CO_(2)排放量最低和一次能源消耗最低的多目标函数进行优化求解;最后,在满足各条母线功率平衡约束、能源耦合设备出力约束、系统购能约束的条件下,通过算例验证了综合能源系统相比于传统能源系统在经济性和环境保护方面的优势。

In order to rationally schedule the capacity configuration of each energy coupling unit of the integrated energy system,quantitatively evaluate the advantages of the integrated energy system.This paper proposes a planning method of integrated energy system based on seagull algorithm.First,three busbars and multi-energy coupling equipment models based on electric,thermal,and air loads are established.And then the seagull optimization algorithm,which has good global and local optimization ability by simulating the migration and attack behavior of gull in nature,is adopted to optimize the multi-objective function with the minimum annual investment cost,the lowest CO_(2) emission and the lowest primary energy consumption.Finally,under the conditions of satisfying the power balance constraints of each bus,the output constraints of the energy coupling equipment and the energy purchase constraints of the system,the advantages of the integrated energy system compared with the traditional energy system in terms of economy and environmental protection are verified by calculation examples.