Simulated annealing-chaotic search algorithm based optimization of reverse osmosis hybrid desalination system driven by wind and solar energies
Simulated annealing-chaotic search algorithm based optimization of reverse osmosis hybrid desalination system driven by wind and solar energies
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DOI：
10.1016/j.solener.2018.07.094
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发表时间：
2018-10
期刊：
影响因子：
6.7
通讯作者：
Guozhao Zhang;Baojia Wu;A. Maleki;Weiping Zhang
中科院分区：
文献类型：
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作者：
Guozhao Zhang;Baojia Wu;A. Maleki;Weiping Zhang
由风能和太阳能驱动的小型反渗透（RO）海水淡化厂是满足自治地区要求的有吸引力的选择。这些系统的复杂性需要适当优化太阳能和风能发电以及存储需求。本研究的主要贡献是太阳能和风能混合反渗透海水淡化厂的设计优化方法。基于混合能源系统的研究有很多，但有效的模型和方法的研究很少，本文研究了太阳能-风能-反渗透海水淡化、太阳能-风能-反渗透海水淡化和风能-反渗透海水淡化三种自主混合能源系统的可能性。在伊朗自治区的混合方案的优化模型中，考虑了连续变量和连续变量。最小化生命周期成本的主要优化功能是用来评估不同类型的可再生能源系统为反渗透海水淡化供电。此外，电力中断的概率被用来衡量的混合方案的可靠性。为此，提出了一种新的模拟退火和混沌混合搜索算法。并与原始混沌搜索算法和模拟退火算法的结果进行了比较。仿真结果表明，混合搜索算法与模拟退火算法的最佳性能之间的相对误差为47.75%，与混沌搜索算法的最佳性能之间的相对误差为4.08%。总体而言，结果表明，混合搜索算法提供了最好的性能之间的原始模拟退火和混沌搜索算法。此外，混合可再生能源系统降低了系统成本并提高了系统可靠性，以增加淡水可用性并满足电力负载需求。
Small reverse osmosis (RO) based desalination plants driven by wind and solar energies are attractive options to meet the requirements of autonomous areas. The complexity of these systems requires proper optimization of the solar and wind energy generation with storage needs. The main contribution of this study is a design optimization method of a hybrid reverse osmosis desalination plant powered by solar and wind energy. There are many investigations based on hybrid energy systems but the investigation of a useful model and effective methods are rarely found. Here, the possibility of three autonomous hybrid arrangements, namely, solar-wind-battery-RO desalination, solar-battery-RO desalination, and wind-battery-RO desalination, are investigated. Integer and continuous variables in the optimization model of the hybrid schemes for an autonomous region of Iran are considered. The main optimization function of minimizing the life cycle cost is used to evaluate different types of renewable energy systems for powering reverse osmosis desalination. Also, the probability of power interruption is used to measure the reliability of the hybrid schemes. For this aim, a new hybrid search algorithm is developed for simulating annealing and chaotic system. The results are compared with those from original chaotic search and simulated annealing algorithms. The simulation results show that the relative error in the hybrid scheme between the best performances of the hybrid search algorithm and the simulated annealing algorithm is 47.75%, and 4.08% for the hybrid search algorithm and chaotic search algorithm. In overall terms, the results demonstrate that the hybrid search algorithm provided the best performance between the original simulated annealing and the chaotic search algorithm. Additionally, the hybrid renewable energy system decreases system cost and increases system reliability for increasing fresh water availability and meeting the electricity load demands.