混合可再生能源系统优化设计综述

OPTIMUM DESIGN OF HYBRID RENEWABLE ENERGY SYSTEMS:A REVIEW

人口的快速增长和化石燃料的快速消耗导致了能源短缺和环境污染等问题,面对能源和环境的双重压力,许多学者正努力研究从可再生能源中提取能源的新方法.集成多种能源的混合可再生能源系统可以有效地解决这一问题.在混合可再生能源系统中,优化机组规模是实现可再生能源高效利用的关键.研究趋势表明,人工智能方法越来越受研究者关注,可以在没有长期天气数据的情况下提供良好的系统优化.笔者在已发表的文献的基础上,对混合可再生能源系统优化技术的现状进行了全面的综述,介绍了混合可再生能源系统的概念,总结了多种不同的能源系统,比较了不同能源系统的差异,并分析了不同系统的物理模型,以及系统的优化方法和原则.进一步,对可再生能源产生电力的不确定性,进行了文献综述分析.最后总结了混合可再生能源系统在未来遇到的挑战.

The rapid growth of population and consumption of fossil fuels have led to problems such as energy shortage and environmental pollution.Facing the double pressure of energy and environment,many researchers are working on new ways to extract energy from renewable energy.The hybrid renewable energy system integrated with multiple energy sources can effectively solve this problem.In the hybrid renewable energy system,optimizing the unit size is the key to realize the efficient utilization of renewable energy.The research trend shows that the artificial intelligence method is more and more concerned by researchers,which can provide good system optimization in the absence of long-term weather data.In this paper,on the basis of the published literatures,we make a comprehensive review of the current situation of hybrid renewable energy system optimization technology.Firstly,the concept of hybrid renewable energy system is introduced.In addition,this paper summarizes a variety of different energy systems and compares the differences of different energy systems,and then introduces the physical models of different systems as well as the optimization methods and principles of the system.The uncertainty of electricity generated by renewable energy is reviewed and analyzed.Finally,the challenges of hybrid renewable energy system in the future are summarized.