基于ARDPSO-TSMC混合算法的光伏MPPT控制  

Photovoltaic MPPT control based on ARDPSO-TSMC hybrid algorithm

作　　者：李帅杰 皇金锋[1] 李慧慧 LI Shuaijie;HUANG Jinfeng;LI Huihui(College of Electrical Engineering,Shaanxi University of Technology,Hanzhong 723001,China)

机构地区：[1]陕西理工大学电气工程学院,陕西汉中723001

出　　处：《武汉大学学报（工学版）》2024年第10期1479-1487,共9页Engineering Journal of Wuhan University

基　　金：陕西省自然科学研究项目(编号:2023-JC-YB-442);陕西理工大学研究生创新基金项目(编号:SLGYCX2314)。

摘　　要：针对光伏阵列在局部遮阴条件下,其输出功率-电压特性曲线呈现多峰值现象,传统的最大功率点追踪算法易陷入局部最大功率点,而常见的智能优化算法通常存在收敛速度慢、收敛精度差、系统稳定性不高等问题,提出了一种基于自适应随机漂移粒子群优化(adaptive random drift particle swarm optimization, ARDPSO)算法和终端滑模控制(terminal slip mold control, TSMC)的复合追踪算法。随机漂移粒子群优化(random drift particle swarm optimization, RDPSO)算法将金属导体中自由电子在电场中的热运动和漂移运动与标准粒子群优化(particle swarm optimization, PSO)算法相结合,增强了算法摆脱局部最优的能力。在RDPSO算法迭代寻优过程中同步调整热运动系数,提高算法的精度和收敛速度。同时,引入TSMC加强系统的稳定性,进一步提高算法的收敛精度和收敛速度。仿真结果表明,ARDPSO-TSMC算法在无遮阴、静态局部遮阴和动态局部遮阴条件下均能快速准确地追踪到全局最大功率点。Under local shading conditions,the output power-voltage characteristic curve of photovoltaic array presents multi-peak phenomenon,and the traditional maximum power point tracking(MPPT)algorithm is easy to fall into the local maximum power point(LMPP),while common intelligent optimization algorithm usually has the problems of slow convergence speed,poor convergence accuracy,and low system stability.A composite tracking algorithm based on adaptive random drift particle swarm optimization(ARDPSO)algorithm and terminal slip mold control(TSMC)is proposed in this paper.The random drift particle swarm optimization(RDPSO)algorithm combines the thermal and drifting motions of free electrons in a metallic conductor in an electric field with the standard particle swarm optimization(PSO)algorithm,which enhances the ability of the algorithm to get rid of the local optimum.The thermal motion coefficients are adjusted synchronously during the iterative optimization of the RDPSO algorithm to improve the accuracy and convergence speed of the algorithm.At the same time,TSMC is introduced to enhance the stability of the system and further improve the convergence accuracy and convergence speed of the algorithm.Simulation results show that the ARDPSOTSMC algorithm can track the global maximum power point(GMPP)quickly and accurately under no shading,static local shading and dynamic local shading conditions.

关 键 词：光伏阵列 局部遮阴 最大功率点追踪 自适应随机漂移粒子群算法 终端滑模控制 

分 类 号：TM914[电气工程—电力电子与电力传动]