船舶光伏发电最大功率点跟踪无模型自适应控制
Maximum Power Point Tracking of Merchant Marine Photovoltaic System Based on MFAC
裴春博 1姚文龙 1池荣虎1
作者信息
- 1. 青岛科技大学 自动化与电子工程学院,山东 青岛 266061
- 折叠
摘要
针对船舶光伏发电系统输出功率优化控制问题,并充分考虑复杂海况天气、船舶横摇和海盐结晶导致的船舶光伏发电系统模型参数时变,提出一种船舶光伏发电最大功率点跟踪无模型自适应控制方法.首先,根据光伏发电系统的输出和输入数据建立了离散非线性系统;其次,采用基于紧格式动态线性化的数据模型设计最大功率点跟踪无模型自适应控制器;最后,给出了伪偏导数估计算法.通过对比仿真实验,所提控制方法提高了船舶光伏发电系统的输出功率的稳定性.在恒定25℃环境温度及辐照度900 W·m-2 下,采用无模型自适应控制和基于扰动观察法的最大功率点跟踪时间分别为0.1、0.3 s,功率振荡幅度分别为5、18 W;在2 s时刻辐照度变化为500 W·m-2 时,采用无模型自适应控制和基于扰动观察法的最大功率点跟踪时间分别为0.02、0.06 s,功率振荡幅度分别为100、250 W.可以看出,采用无模型自适应控制的最大功率点跟踪方法可改善船舶光伏系统最大功率跟踪性能,验证了所提控制方法的有效性和优越性.
Abstract
To optimize the efficiency and the stability of output power with time-varying pho-tovoltaic(PV)panels model parameters under complex oceanic condition,ship rolling and salt crystallization,an MPPT(maximum power point tracking)of merchant marine photo-voltaic system based on MFAC(model free adaptive control)is adopted.Firstly,the general discrete non-linear system is established relative to the input and output of PV system;Sec-ondly,the compact form dynamic linearization data model is utilized to design the MFAC controller;Finally,the pseudo partial derivative estimation algorithm is proposed.Com-pared with the contrast simulation,the proposed method improves the stability of the PV system output power.The MPPT time with MFAC and perturbation and observation(P&O)method are 0.1,0.3 s,respectively,power oscillation amplitude are 5,18 W under 25℃environment temperature and irradiance of 900 W·m-2.When the irradiance changes to 500 W·m-2 at 2 s,the MPPT time with MFAC and P&O are 0.02 and 0.06 s,respec-tively,and the power oscillation amplitude are 100 and 300 W,respectively.It can be seen that the MPPT based on MFAC can improve the speed tracking performance of ship PV sys-tem,which verifies the effectiveness and superiority of the proposed method.
关键词
船舶微电网/光伏发电/最大功率点追踪/无模型自适应控制Key words
ship microgrid/photovoltaic power generation/maximum power point tracking/model free adaptive control引用本文复制引用
基金项目
国家自然科学基金(61873139)
山东省重大科技创新工程项目(2021SFGC0601)
青岛市自主创新重大专项(21-1-2-14-zhz)
出版年
2024
NETL
NSTL
万方数据