光伏并网逆变器布谷鸟搜索优化反推控制  

Cuckoo search optimization backstepping control of photovoltaic system grid-connected inverter

作　　者：阳同光[1,2] 文明才[1] 

机构地区：[1]湖南城市学院机械与电气工程学院,湖南益阳413000 [2]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《电机与控制学报》2016年第8期105-111,共7页Electric Machines and Control

基　　金：国家自然科学基金(61273158);湖南教育厅科学研究项目(13A015)

摘　　要：针对并网逆变器模型非线性和电网扰动的问题,提出一种基于布谷鸟搜索算法优化反推控制技术光伏并网逆变器控制策略。首先,建立考虑参数变化和电网扰动的并网逆变器数学模型,设计并网逆变器反推控制。然后,利用布谷鸟搜索算法对不确定性部分进行在线辨识和补偿,消除模型非线性和外部扰动产生的不确定性部分的影响。利用Lyapunov稳定性理论设计控制器自适应律,证明了布谷鸟搜索算法优化反推控制器的稳定性。实验结果表明该方法能实现逆变器精确并网控制,具有较好的动静态性能和较强的鲁棒性。A method based cuckoo search optimization backstepping control is proposed to solve the prob- lems of inverter model＇ s nonlinear and disturbances in this paper. At first, taking parameter variations and external disturbances into account, a dynamic mathematical model was derived , and a backstepping control was set up based on this model. Then, tO identify and compensate the time-varying and nonlinear uncertain impacts on control system, cuckoo search was used to approximate the uncertain and unlinear part of inverter model online. The stability and the adaptive law of cuckoo search backstepping control were ensured by applying Lyapunov stability theory. The experimental results show that this method can control the grid-connected inverter accurately and has the advantages of better static and dynamic per- formance and robustness.

关 键 词：光伏系统 并网逆变器 布谷鸟搜索算法优化 自适应反推控制 

分 类 号：TK513.5[动力工程及工程热物理—热能工程]