CAJ | 학술논문

针对局部阴影情况下光伏输出曲线非线性和多峰值的特性，提出基于蚁群算法的光伏多峰值最大功率跟踪算法。通过对光伏输出曲线的结构及均匀分布特性的分析，构建蚁群极值寻优过程，对特定区间进行极值点搜索，最后求出最大功率点。仿真表明，该算法能够有效地跟踪全局最大功率点，避免其收敛于局部最优解，与传统全局扫描算法不同，其收敛速度及精度不受光伏曲线形状的影响。
침대국부음영정황하광복수출곡선비선성화다봉치적특성，제출기우의군산법적광복다봉치최대공솔근종산법。통과대광복수출곡선적결구급균균분포특성적분석，구건의군겁치심우과정，대특정구간진행겁치점수색，최후구출최대공솔점。방진표명，해산법능구유효지근종전국최대공솔점，피면기수렴우국부최우해，여전통전국소묘산법불동，기수렴속도급정도불수광복곡선형상적영향。
Due to the nonlinear and multiple power-voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions,Ant colony optimization in the global power peak under partially shaded conditions is proposed.In this paper,Ant colony optimization process of the global maximum power point tracking is constructed through the structure and characteristics of PV output curve.The extreme power points are tracked by searching for specific area.At last,The maximum power point is acquired.The simulation results demonstrate that the new method could track global maximum power point effectively under complex irradiance conditions.Compared with tradition methods,the new algorithm is high accuracy in the case of larger sample and the convergence speed is not affected from the complex multiple peaks of PV characteristics.