基于改进群搜索优化算法的综合能源系统运行优化

Operation optimization of integrated energy system based onimproved group search optimizer algorithm

针对综合能源系统(IES)运行优化的问题,采用“经济最优”的运行策略,考虑设备的变工况特性,建立了IES经济性运行的优化模型。引入多元储能系统,以最小运行成本为目标,采用改进群搜索优化(GSO)算法求解其经济运行的优化问题。在改进GSO算法中,提出了基于改进Tent混沌映射的种群初始化和基于Levy飞行特征的跟随者更新策略,提高了解决高维复杂问题的收敛速度和求解精度;同时分析设备变工况特性对系统运行优化的影响。算例分析验证了所建模型和改进算法的适用性。

Aiming at the problem of the operation optimization of an integrated energy system(IES),the present paper adopts an“economical and optimal”operation strategy,considers the variable working condition characteristics of the equipment,and establishes an optimization model for the economic operation of the IES.Moreover,a multi-energy storage system is introduced to target the minimum operating cost,and the improved group search optimizer(GSO)algorithm is used to solve the optimization problem of the economic operation.In the improved GSO algorithm,the population initialization based on the improved tent chaotic map and the follower update strategy based on the Levy flight feature are proposed,which improves the convergence speed and the solution precision of the high-dimensional complex problems,and analyzes the impact of the variable working condition characteristics of the equipment on the optimization of the system operation.The example analysis verifies the applicability of the present model and the improved algorithm.