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作 者:陈俊马 王冰[1] 荣军峰 胡庆燚[1] Chen Junma Wang Bing Rong Junfeng Hu Qingyi(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)
机构地区:[1]河海大学能源与电气学院,江苏南京211100
出 处:《可再生能源》2016年第12期1739-1745,共7页Renewable Energy Resources
基 金:国家自然科学基金(51477042)
摘 要:文章提出一种多峰值拆分的方法。首先,根据光伏阵列的阴影分布,将多峰拆分成光照均匀下的若干单峰;其次对拆分后单峰对应的新光伏阵列进行参数辨识,并利用遗传算法对辨识出来的参数优化,准确建立各单峰的光伏阵列模型,进而分析其在局部阴影情况下的输出特性;再次对所得模型进行理论求解,基于理论结果进行最大功率点跟踪,快速得到全局最大功率点。最后,通过搭建仿真模型,验证文章所提方法的准确性和可行性。In this paper, a multi-peak splitting method is proposed and the photovoltaic array under partial shade conditions is transformed into several single-peak models under uniform solar irradiation. The theoretical value of maximum power point is obtained as the reference value of the maximum power point tracking. Thus, the tracking process is greatly accelerated. First, according to the shadow distribution of the photovohaic array, the multi-peak system can be split into several single-peak systems under uniform solar irradiation. Then, the parameter identification of corresponding photovohaic arrays is performed and the genetic algorithm is used to optimize the parameters. Hence, the corresponding single-peak models of photovoltaic arrays are established exactly, which are used to analyze the output characteristics under partial shade conditions. Next, the theoretical solutions of the models are obtained based on the gotten models. And the maximum power point tracking is carried out by using the theoretical results. As a result, the global maximum power point is gotten quickly. Finally, the simulation model is built to verify the accuracy and feasibility of the proposed method.
关 键 词:光伏阵列 局部阴影 多峰值拆分 最大功率跟踪 参数辨识
分 类 号:TM615[电气工程—电力系统及自动化]
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