Multi-level optimization approach for directly coupled photovoltaic-electrolyser system
Multi-level optimization approach for directly coupled photovoltaic-electrolyser system
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DOI：
10.1016/j.ijhydene.2016.05.082
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发表时间：
2016-07-27
影响因子：
7.2
通讯作者：
Sarwat, A. I.
中科院分区：
文献类型：
--
作者：
Khalilnejad, A.;Abbaspour, A.;Sarwat, A. I.
本文对直接耦合的光电耦合电解系统进行了优化设计，提出了一种新的优化方法。利用Matlab对先进的碱性电解槽、光伏系统和储氢罐进行了精确的电气模型仿真。该系统进行了一天的调查，使用实际的气象数据的迈阿密，FL。的优化，这已经使用遗传算法进行的目的，是产生最大的氢气，最小的过剩功率，和最小的能量传输损失。在每次迭代优化中，由于温度在系统整体性能中的关键作用，使用遗传算法优化平均操作温度。该系统的优化方式，操作条件是尽可能接近的光伏阵列的最大功率点。在24小时周期和工作时间的系统的操作进行了讨论，使系统与其他研究具有不同的电源。分析结果表明，对于10 kW的电解槽，优化后的系统在功率损失为2.2%，功率传递损失为4.7%的情况下，平均产氢量为0.0151mol/s。(C)2016年氢能出版有限责任公司。由爱思唯尔有限公司出版。保留所有权利。
In this study, directly coupled photovoltaic-electrolyser system is designed and optimized and a new method for optimization is given. The accurate electrical models of advanced alkaline electrolyser, photovoltaic system, and hydrogen storage tank are simulated using Matlab. The system is investigated for a day using actual meteorological data of Miami, FL. The purpose of the optimization, which has been performed using genetic algorithm, is to produce maximum hydrogen, minimum excess power, and minimum energy transfer loss. In each iteration of the optimization, due to crucial role of temperature in overall performance of the system, the average operating temperature is optimized using genetic algorithm. The system is optimized in a way that the operating condition is as close as possible to the maximum power point of the photovoltaic array. The operation of the system is discussed in 24 h period and working hours to make the system comparable to other studies with different power sources. The result of the analysis shows that optimal system for a 10 kW electrolyser can produce the average hydrogen of 0.0151 mol/s when the system is operating with 2.2% power loss and 4.7% power transfer loss. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.