摘要
针对传统的光伏控制网络的控制系统在光照面积分布不均、光强度非线性变化较大等因素的干扰下,控制过程具有非线性、强耦合性的特点,在节能控制中无法运用精确的物理量来进行参数的变化,控制效果较差。提出改进模糊自适应算法的节能控制方法。根据相关理论对光伏网络的发电输出的特性进行分析,为节能控制模型的建立提供参考,依据改进模糊自适应算法构建光伏控制网络的节能控制模型,确定输入输出变量,建立模糊控制规则,并依据控制规则进行模糊推理,最后通过反模糊化,得到精确的节能控制结果。实验结果表明,采用改进算法进行光伏控制网络的节能控制,能够有效的减小超调量,提高控制系统的适应性及稳定性,具有较强的鲁棒性。
Traditional photovoltaic control network control system in the light of larger area distribution,changes in light intensity of nonlinear factors such as interference,the control process has the characteristics of nonlinear,strong coupling,unable to use in the energy saving control accurate quantity to proceed with the change of the parameters,the control effect is poorer. Based on improved fuzzy adaptive algorithm of energy-saving control method. According to the related theory of photovoltaic( pv) power output characteristics of the network were analyzed,and provide a reference for the establishment of energy-saving control model,based on improved fuzzy adaptive algorithm to construct photovoltaic energy saving control model of control network,determine the input and output variables,to establish fuzzy control rules,on the basis of control rules and fuzzy reasoning,at last,through the blur,energy-saving control of accurate results are obtained. Experimental results show that the improved algorithm is adopted to improve the photovoltaic energy saving control of control network,can effectively reduce the overshoot and improve the adaptability and stability of the control system,has strong robustness.
出处
《计算机仿真》
CSCD
北大核心
2015年第7期129-133,共5页
Computer Simulation
基金
黑龙江省高校科研成果产业化前期研发培育项目(项目编号:1254CGZH04)
关键词
光伏控制网络
节能控制
模糊自适应算法
Photovoltaic control network
Energy saving control
Fuzzy adaptive algorithm