考虑电转气精细化模型的气电联合微网日前优化调度

Day Ahead Optimal Scheduling of Microgrid in Gas-Electricity Combined System Considering Refined Model of Power to Gas

针对目前电转气系统运行过程中能耗大、效率低以及调度结果与实际运行过程存在较大偏差等问题,将电转气过程精细化为电转氢和氢气甲烷化两个环节,根据甲烷化启停过程的耗时耗能特性构建了甲烷化环节启动模型和运行模型。然后将电转气精细化模型应用于气电联合微网,建立以运行成本最小为目标的微网日前优化调度模型,并运用遗传算法求解。仿真结果表明,所建模型能够实现对电转气系统的高效利用,提高了调度结果的准确性,并且能优化机组出力,保证微网运行的经济性。

Due to large energy consumption,low efficiency,and great difference between the scheduling result and the actual situation during the current operation of the power to gas(P2G)system,the power to gas was refined into two parts:power to hydrogen and hydrogen to methanation.According to the time-consuming and energyconsuming characteristics of the methanation start-stop pattern,a methanation link startup model and an operation model were constructed and the power to gas refinement model was applied to the combined gas-electric microgrid.A microgrid optimized scheduling model with the goal of minimizing operating costs was established and solved by genetic algorithm.The simulation results indicate that the model established can realize the efficiency of power to gas system,improve the accuracy of the scheduling results,and optimize the economical operation of the microgrid.