Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system
Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system
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DOI：
10.1016/j.enconman.2016.03.074
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发表时间：
2016-06
影响因子：
10.4
通讯作者：
Dhiaa Halboot Muhsen;A. Ghazali;T. Khatib
中科院分区：
文献类型：
--
作者：
Dhiaa Halboot Muhsen;A. Ghazali;T. Khatib
本文提出了一种基于差分进化的多目标优化算法，以优化光伏水泵系统（PVPS）的规模。三个加权的个人目标聚合由一个单一的功能，以优化PVPS的配置。该模型将失电概率、寿命周期费用和过剩水量作为三个独立的目标函数。建议的抽水系统应提供30 m3的日水量，静压头为20 m。通过测试大范围的权重集，克服了为每个单独的目标函数初始化权重的复杂性。利用逐时气象数据对系统的性能进行了测试。所提出的系统的性能结果表明，在一年的时间内，负载的损失概率和平均小时水流量分别约为0.5%和3.297 m3/h。该系统的生命周期成本、缺水量和水单位成本分别为9911美元、55.015 m3和0.045美元/m3。
In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are considered as three individual objective functions. The proposed pumping system is supposed to provide a daily water volume of 30 m3with a static head of 20 m. The complexity of the initializing of the weights for each individual objective function is overcome by testing a wide range sets of weights. The performance of the system is tested based on hourly meteorological data. The performance results of the proposed system show that the loss of load probability and the average hourly water flow rate over a year time are around 0.5% and 3.297 m3/h, respectively. The life cycle cost, water deficit, and cost of water unit of the system are 9911 USD, 55.015 m3, and 0.045 USD/m3, respectively.