考虑最大效率的风光制氢系统容量配置及功率调控

Capacity Configuration and Power Regulation of Scenic Hydrogen Production System Considering Maximum Efficiency

为解决新能源电解水制氢微电网系统中投资成本高、电解槽运行效率低、功率输入波动大等问题,以微电网设备安装成本以及由负荷缺氢率和弃电率组成的系统综合优化指标为目标函数,提出风光制氢容量配置方案,并根据电解槽效率特性曲线制定最大制氢效率的功率调控方法。根据风光发电功率波动情况选择蓄电池为电解槽补充电能,编写基于精英非支配排序遗传算法求解系统中各设备的容量配置,利用多目标粒子群优化算法进行电解槽最大效率功率调控。对比风光互补制氢方案,该容量配置模型可在安装成本接近的条件下达到更低的综合优化指标,功率调控后系统平均电解槽输入功率波动率与电解槽效率分别下降了58.37%与37.54%,显著改善了系统稳定性,提高了能源利用率。

Aiming at the problems of high investment cost,low efficiency of electrolyzer operation and high fluctuation of power input in the new energy electrolytic water to hydrogen microgrid system,the scenery hydrogen production capacity configuration scheme with the installation cost of microgrid equipment and the comprehensive optimization index of the system consisting of load hydrogen deficiency rate and power abandonment rate as the objective function and the power regulation method for achieving maximum hydrogen production efficiency based on the characteristic curve of electrolyzer efficiency was proposed.The battery was selected to supplement the electrolyzer according to the fluctuation of the power of the scenery generation,and the elitist non-dominated sorting genetic algorithm(NSGA-Ⅱ)was written to solve the capacity configuration of each device in the system,and the multi-objective particle swarm optimization(MOPSO)was used to perform the maximum efficiency power regulation of the electrolyzer.In comparison to the scenery complementary hydrogen generation scheme,the capacity configuration model achieved a lower overall optimization index with a similar installation cost.After power regulation,the average electrolyzer input power fluctuation rate and electrolyzer efficiency decreased by 58.37%and 37.54%,respectively,which significantly improved the system stability and energy utilization.