基于模型预测控制的离网电氢耦合系统功率调控研究数据集

在基于模型预测控制的离网电氢耦合系统功率调控研究数据集中，风机光伏实际输出功率由其实际风速与辐照强度计算获取；负荷实际需求功率通过对变电站用电监测获取；电解槽运行功率、燃料电池运行功率、蓄电池运行功率通过模型预测控制优化计算获取；储氢罐压力、蓄电池荷电状态数据由电氢储能系统模型计算获取。数据集来源于计算模拟。

This research dataset focuses on power regulation of off-grid electricity-hydrogen coupled systems based on model predictive control. The actual output power of wind turbines and photovoltaic panels is calculated from their measured actual wind speed and solar irradiance; the actual load demand power is obtained via substation power monitoring; the operating powers of the electrolyzer, fuel cell and battery are acquired through optimization calculations using model predictive control; the hydrogen storage tank pressure and battery state of charge data are calculated based on the electricity-hydrogen energy storage system model. This dataset is sourced from computational simulations.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于离网电氢耦合系统的功率调控研究，采用模型预测控制方法，通过计算模拟生成风机光伏输出功率、负荷需求功率、电解槽、燃料电池和蓄电池运行功率等关键数据。数据来源于国家重点研发计划项目，由东北电力大学创建，旨在支持可再生能源发电和电气工程领域的研究。