风能-太阳能-储蓄电池-柴油发电机独立混合发电系统的优化设计  

Design optimization of standalone hybrid Wind-PV-Battery-Diesel system

作　　者：黄永红[1] 罗伦[1] 孙小琴 Chris Underwood 袁晨宇 李松 

机构地区：[1]长沙理工大学能源与动力工程学院,湖南长沙410004 [2]诺森比亚大学工程与环境学部

出　　处：《长沙理工大学学报（自然科学版）》2017年第2期68-74,共7页Journal of Changsha University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(51308051)

摘　　要：为了提升混合可再生能源系统发电的连续性、可靠性和经济性,通过Matlab数值模拟,提出了一套基于遗传算法的风能-太阳能-储蓄电池组-柴油发电机独立混合可再生能源系统组件规模优化配置模型。通过建立系统能源模型、经济性模型和可靠性模型,并以系统总花费成本最小为限制,求解了系统各组件配置最优解。研究结果表明,该模型能够有效求解出系统各组件最优化配置,并可以根据设计要求的不同得出不同的系统优化结果,能给予决策者更多的选择空间。In order to improve the continuity, reliability and economy of hybrid renewable energy system, this dissertation based on the numerical simulation of Matlab software proposed a method to calculate the configuration optimization of the hybrid Wind-PV-Battery- Diesel system by using the genetic algorithm method. This method established the power model, cost model and reliability model of the system, meanwhile it set the minimum total life cycle cost as the constrain to find the optimization scale of each component in the system. The results of simulation indicated that this model can effectively find the component optimization of the system, and it can be based on the different requirements of the design to obtain the different optimization results which may give more choices for the decision maker.

关 键 词：独立混合风能-太阳能-储蓄电池组-柴油发电机系统 可靠性 经济性 数值模拟 遗传算法 优化配置 

分 类 号：TM61[电气工程—电力系统及自动化]