风电制氢碱性电解槽阵列配置研究数据集

"基于碱性电解槽和超级电容的混合储能技术实现风电功率波动性平抑，增强风电的可调度性已成为共识,建立了电解槽、超级电容工作特性约束和系统总初始投资成本最低约束，提出了一种基于低通滤波的碱性电解槽-超级电容混合储能配置方法及流程，制定了基于超级电容SOC状态的氢-超混合储能系统控制策略。数据集来源于计算模拟。

It is widely recognized that utilizing hybrid energy storage technology based on alkaline electrolyzers and supercapacitors to mitigate wind power fluctuations and enhance the schedulability of wind power has become a generally accepted consensus. This study establishes the operating characteristic constraints for electrolyzers and supercapacitors, as well as the constraint of minimizing the total initial investment cost of the system. A low-pass filter-based configuration method and implementation workflow for alkaline electrolyzer-supercapacitor hybrid energy storage systems is proposed. A control strategy for the hydrogen-supercapacitor hybrid energy storage system based on the state of charge (SOC) of the supercapacitor is formulated. The dataset is derived from computational simulations.

搜集汇总

背景与挑战

背景概述

该数据集针对风电制氢场景，研究碱性电解槽与超级电容的混合储能配置，以平抑风电功率波动并提升可调度性。它基于计算模拟生成，包含配置方法和控制策略相关数据，由同济大学在国家重点研发计划项目下创建。