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机构地区:[1]合肥工业大学电气与自动化工程学院教育部光伏系统工程研究中心,合肥230009
出 处:《太阳能学报》2017年第1期264-270,共7页Acta Energiae Solaris Sinica
基 金:安徽省科技专项基金(2013AKKG0390)
摘 要:针对多台水泵并联运行的光伏水泵集中群控系统,提出一种流量优化算法,实现系统功率的合理分配,并以预估流量最优值方式控制各单元的启停投切,使群控系统全天运行在流量最优的工况下。该文建立水泵并联装置的数学模型,由实验得到额定转速下扬程曲线、功率曲线的性能参数,并利用Newton迭代法求解系统工况。实验和仿真结果,表明采用该流量优化算法后,系统的日扬水量得到显著增加。A flow optimization algorithm was proposed for photovohaic pump centraliazed group control system which multiple pumps operating in parallel. Group control system can run all day at the optimal flow conditions through the way of reasonable distributing system power, and controlling start and stop of each unit by estimating the flow optimal value. The paper estabished a mathematical model of pump parallel device and obtained the performance parameters of head curve and power curve from experiments, and system conditions was solved by using the Newton iterative method. Experimental and simulation results showed that the daily water capactiy has been increased significantly after using the flow optimization algorithm .
分 类 号:TM615[电气工程—电力系统及自动化]
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