Open AccessModelling of PV module and its application for partial shading analysis – part II: partial shading analysis and simulation approach of large‐scale PV array
Author(s) -
Mao Zhang,
Sunan Zhong,
Peng Mao,
Yanlong Sun,
Weiping Zhang
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0542
Subject(s) - photovoltaic system , shading , maximum power principle , power (physics) , scale (ratio) , computer science , maximum power point tracking , macro , shadow (psychology) , simulation , electrical engineering , engineering , physics , computer graphics (images) , quantum mechanics , inverter , programming language , psychology , psychotherapist
Most issue for a large‐scale photovoltaic (PV) array shows an average loss of ∼20–25% in power generation yield due to partial shadow. Under partially shaded conditions, a PV array gets more complex characteristics. However, it is very difficult to understand and predict them since PV module has non‐linear characteristic and it is also utterly necessary for one to extract the maximum possible power. This study presents the partial shading analysis and simulation approach to unveil the significant basic rules for estimating performances of a large‐scale PV array. By using the macro‐model and simplified parameter estimation formulas of the PV module proposed in part I, this study has made the following contributions: (i) basic and general shading patterns of PV string and array are proposed to unveil the basic rules, such as the count of maximum power points (MPP), magnitude of the global MPP, overall shape of V – I and V – P curves, and so on. (ii) The optimising configuration‐simulation model are developed for a distributed PV system designed to optimise PV array configuration under a given shaded patterns. By using a Dell compatible personal computer to run Psim programs, it takes ∼15 minims to get the V – I and V – P curves of a partially shaded PV array with 1050 commercial PV modules. Furthermore, this study attempts to provide a simulation tool to study the behaviours of a complete PV system since the Psim‐based models conveniently interface with the models of power electronic circuit.