Particle Swarm Optimization Based Maximum Power Point Tracking Control for Photovoltaic Power Generation Systems

• Main Authors: Uei-Dar Lai, 賴威達
• Other Authors: Kuei-Hsiang Chao
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/02188115593714418301

碩士 === 國立勤益科技大學 === 電機工程系 === 101 === The main purpose of this thesis is to propose a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) module array under considering the module shadow and fault. The proposed maximum power point tracking method is based on a modified particle swarm optimization (PSO) method to reach the real maximum power point (MPP) with multi-peak power-voltage (P-V) output curve for PV module array under considering the module shadow and fault. At first, Solar Pro software is used to capture the parameters of open-circuit voltage and short-circuit current for PV module array under different shadow conditions according to the HIP 2717 PV module. Accordingly, a module simulator circuit is made to implement the shadow conditions for PV module array under module shadow or fault. In addition, Pspice is used to pick up some simulation cases of 2-peaks, 3-peaks and 4-peaks of P-V curve under module shadow or fault for Matlab simulations to compare the MPPT performance between traditional PSO and modified PSO algorithms. As the simulation result, modified PSO algorithm performs performance well than the traditional PSO. Finally, a PIC microcontroller was adopted to implement the traditional PSO and modified PSO algorithm to carry out the MPPT with the multi-peak cases of P-V curve for the PV module array under module shadow or fault. The experimental results also verify that the modified PSO algorithm posses better tracking response and accuracy than traditional PSO method.