摘要
为解决局部阴影下光伏阵列采用传统最大功率点跟踪(MPPT)易陷入多峰值的局部最优点问题,采用分布式构架的光伏阵列,提出了一种基于遗传粒子群(GA-PSO)的MPPT混合算法,GA-PSO算法结合了粒子群算法(PSO)的位置转移和遗传算法(GA)的全局搜索能力,使混合算法拥有比GA算法和PSO算法更好的追踪准确性和快速性。在MATLAB/Simulink平台上建立了基于GA-PSO的分布式最大功率跟踪控制(DMPPT)电路拓扑结构的光伏阵列仿真模型,仿真结果验证了所提算法的可行性和有效性,为MPPT技术改进提供一种参考方案。
In order to solve the problem that the traditional maximum power point tracking （MPPT） for the PV ar rays may be trapped into local optimal points with multi peaks under condition of partial shadow, a hybrid MPPT algo- rithm based GA PSO was proposed by using distributed PV arrays, which combines the position transfer of PSO with the global searching capability of GA. The hybrid algorithm has fast tracing performance. The simulation results of the model performed on MATLAB/Simulink shows that the proposed algorithm is feasible and effective, which provides references for the modification of MPPT.
出处
《水电能源科学》
北大核心
2017年第1期212-214,84,共4页
Water Resources and Power
基金
煤燃烧国家重点实验室开放基金项目(FSKLCCA1607)
梯级水电站运行与控制湖北省重点实验室基金项目(2015KJX07)
