基于灰狼算法冷热电联供综合能源优化调度

Comprehensive Energy Scheduling Optimization Based on Multi-objective Gray Wolf Algorithm

对于冷、热、电联供综合能源系统优化问题,为了提高可再生能源利用率,故以弃风、弃光量最小和综合能源系统运行经济性为优化目标,建立了含风机、光机、燃气轮机、燃气锅炉等综合能源优化模型。模型的求解使用的改进多目标灰狼算法,得到Pareto解集。针对综合能源系统的约束较多、灰狼算法种群多样性少、容易陷入局部最优等方面,对算法进行改进。仿真结果显示,改进之后的算法求解速度和全局搜索性都优于基本算法。

For the optimization of cold,heat and power combined energy system,in order to reduce wind abandon Light and integrated energy systems running economy as the optimization goal,set up including fan,light machine,gas turbine,gas boiler,such as integrated energy optimization model,the model using the improved multi-objective gray wolves algorithm,the multi-objective Pareto optimal solution set,and in view of the constraints,more integrated energy system,the early stage of the algorithm convergence speed is slow,to calculate.Simulation results show that the improved algorithm is better than the basic algorithm in solving speed and global search.