基于Buck-Boost拓扑的新量子遗传算法在M技术中的应用.PDFVIP

第44 卷 第 1 期 电力系统保护与控制 Vol.44 No.1 2016 年 1 月 1 日 Power System Protection and Control Jan. 1, 2016 基于 Buck-Boost 拓扑的新量子遗传算法 在 MPPT 技术中的应用 姬伟超，殷时蓉，刘朝涛 (重庆交通大学机电与汽车工程学院，重庆 400074) 摘要：非线性的光伏电池要求在不同光照和温度等工况条件下实时变更电压、电流等负载特性实现MPPT 追踪光 伏电池最大功率点。针对一般遗传算法用于 MPPT 最大功率点追踪过程中出现的早熟、收敛慢等不足，提出一种 改进的量子遗传算法与扰动法相结合的算法。在电路拓扑结构上采用 Buck-Boost 电路替代传统的 Buck 电路或 Boost 电路，并在 Matlab/Simulink 下进行了建模仿真。实验结果表明，该算法具有良好的最优点有哪些信誉好的足球投注网站能力和跟踪 能力，且控制精度高，同时有效抑制了最大功率点附近的波动，证明了该控制方法的准确性和有效性。 关键词：光伏电池；量子遗传算法；Buck-Boost 拓扑电路；最大功率点追踪 Maximum power point tracking based on Buck-Boost topology with new quantum genetic algorithm JI Weichao, YIN Shirong, LIU Chaotao (College of Mechanical and Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China) Abstract: It is essential to change the load characteristic under different light and temperature conditions in order to track the maximum power point of solar cell rapidly and accurately, according to the non-linear characteristics of photovoltaic cells. For general genetic algorithm in the process of maximum power point tracking MPPT, there are disadvantages such as premature and slow convergence insufficiency, in this paper, a new quantum genetic algorithm combined with perturbation method, based on the Buck-Boost circuit, is used on the circuit topology of alternatives instead of traditional buck circuit or boost circuit, and this method is established and simulated under Matlab/Simulink. Experimental results show that the algorithm has