摘要
提出一种新的基于模型预测控制(MPC)的最大功率点跟踪(MPPT)优化算法。该目标控制算法把基于电流的改进型电导增量法与模型预测控制算法相结合,完成对光伏阵列最大输出功率的快速跟踪。在算法执行过程中,通过建立系统性能指标函数,评价与估算出未来控制变量的动作,从而决定P-U曲线的跟踪方向。仿真结果表明:该控制策略有效地解决了传统电导增量法在外界环境激烈变化时所产生的误判现象,在提高系统稳定性的同时,大大地减少了最大功率点跟踪时间和系统的能量损耗。
A new maximum power point tracking （MPPT） optimization algorithm with the model predictive controller （MPC） is introduced. The proposed controller scheme combines the modified incremental conductance （INC） algorithm current based with the MPC to track the maximum power point of PV array. In the implementation of algorithm, the cost function is established, then the future behavior of the controlled variables is estimated, finally the right direction in P-U curve is decided rapidly. The MATLAB simulation results show that this control strategy effectively solves the misjudgment phenomenon of traditional conductance method under abrupt changes of solar irradiance. At the same time, with improved system stability, the method greatly reduces the time of maximum power point tracking and the energy loss in the system.
出处
《可再生能源》
CAS
北大核心
2012年第11期1-5,9,共6页
Renewable Energy Resources
作者简介
黄艺（1988-），男，江苏南京人，硕士研究生，研究方向为光伏发电技术。E-mail：buangyit317@hotmail.com
