基于改进郊狼算法的综合能源系统优化运行策略

Optimization operation strategy of integrated energy system based on improved coyote optimization algorithm

为了促进可再生能源的消纳,提高一次能源的利用率,基于郊狼算法对综合能源系统进行分析。构建包含燃气发电机、燃气锅炉、吸收式制冷机、储能装置等设备的综合能源系统优化模型,建立了各机组的数学模型及约束条件;针对传统郊狼算法收敛速度较慢、容易陷入局部最优等问题,提出了混沌映射初始化种群、动态分组等改进方式,提高求解算法的收敛速度、增强全局搜索能力和求解稳定性;以北方某工业园区为算例进行分析,验证了模型及改进算法能够有效降低综合能源系统的运营成本。

In order to promote the consumption of renewable energy and improve the utilization rate of primary energy,this paper analyzes and studies the integrated energy system based on the coyote optimization algorithm.A comprehensive energy system optimization model including gas generators,gas boilers,absorption chillers,energy storage devices and other equipment is constructed,and the mathematical models and constraints of each unit are established.The traditional coyote optimization algorithm has problems such as slow convergence speed and easy to fall into local optimum.Improvement methods such as chaotic map initialization population and dynamic grouping are proposed to improve the convergence speed of the solution algorithm,enhance the global search ability and solution stability.Taking an industrial park in the north as an example,it is verified that the model and the improved algorithm can effectively reduce the operating cost of the integrated energy system.