Modeling and estimation of the maximum power of solar arrays under partial shading conditions

Naser Souri, Shahrokh Farhangi, Hossein Iman-Eini, Hesan Ziar

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

Prediction of output power has become important with the expansion of photovoltaic systems in recent years. Power prediction can be used for economic analysis, loss calculation and optimal designs. In this paper, a new approach for estimating the maximum output power of a photovoltaic power plant is proposed using the meteorological data under cloudy conditions. Basic concepts for understanding the behavior of modules in partial shading condition (PSC) are presented. To find the global maximum power point (GMPP), the shading index is introduced which can be used to find the maximum power point using the climate data. Then, analytical approach has been employed to find voltage and current of arrays at GMPP for both series and series-parallel configurations. The analytical approach is verified using MATLAB-SIMULINK software. Various experimental tests are made to confirm the aforementioned method validity.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781728158495
DOIs
Publication statusPublished - 1 Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
Country/TerritoryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • array mismatch
  • modeling
  • partial shading
  • Photovoltaic
  • power estimation

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