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The maximum power point tracking based on the double index model of PV cells

  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A maximum power point tracking (MPPT) circuit simulation model based on the double index model is proposed in this paper. By analyzing and comparing single index model and double index model, the double index model is more accurate and tallies closely with measured data. Because groups of photovoltaic (PV) cells can be packaged into array, the array model based on double index model can be established according to the number of series/parallel chains in the array. The output characteristic of PV array varies drastically with the solar insolation and the temperature, and presents a maximum power point under given atmospheric conditions. Thereby based on the perturbation and observation method (P&O), MPPT of PV array is analyzed and realized combining with the Boost dc/dc converter. The simulation results validate the accuracy of the model and the feasibility of the algorithm. The double index model is convenient to analyze and optimize the behavior of the power conversion system in the field of PV system.

Original languageEnglish
Title of host publication2009 IEEE 6th International Power Electronics and Motion Control Conference, IPEMC '09
Pages2113-2116
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE 6th International Power Electronics and Motion Control Conference, IPEMC '09 - Wuhan, China
Duration: 17 May 200920 May 2009

Publication series

Name2009 IEEE 6th International Power Electronics and Motion Control Conference, IPEMC '09

Conference

Conference2009 IEEE 6th International Power Electronics and Motion Control Conference, IPEMC '09
Country/TerritoryChina
CityWuhan
Period17/05/0920/05/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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