A Strategy Research on Intelligent Tracking at the Maximum Power Point of the Photovoltaic Electricity Generation Array

摘要：

Output mode of solar energy photovoltaic array is a complex transcendental equation, which is rather difficult to figure out by the numerical method. Traditional MPPT requests highly of initial value with low accuracy. In this thesis, simulation model of photovoltaic array is built to simulate environmental situations under different lights and temperatures, taking advantage of particle swarm and ant colony intelligent algorithm to track the maximum power point of photovoltaic array. Furthermore, a kind of intelligent perturbative tracking method is put forward combined with traditional perturbative tracking and intelligent tracking, with the simulation result showing that intelligent perturbative tracking strategy has superior accuracy and adaptivity than traditional MPPT method.

关键词： particle swarm ant colony MPPT emulation photovoltaic model

作者: Bao Senjie Fu Qiang Shen Yunfeng Zhao Yang Yao Jia Wang Lei

作者单位: College of Science and Technology Ningbo University Ningbo China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 534-537

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）