An Extended Cross Diagonal View Network Topology for a PV System of Non-Square Dimension under Shading Conditions to Yield Maximal Power

A PV module subjected to decrease in the solar irradiance conditions leads to the reduction of power production.Shading of modules is one of the problems encountered in the system which makes the system less productive.The cause of shading may be of different factors like buildings, clouds etc.Hence, in a PV system, the placement of modules in a grid arrangement is a vital part, which influence greatly in the generation of power.If the position of modules is rightly configured, then the possibility of incidence of solar irradiance on the PV module can be enhanced leading to higher performance of the system.Therefore, the existing conventional series parallel (SP) and total cross tied (TCT) configuration are reinforced with a novel network topology namely extended cross diagonal view (ECDV) is proposed.The design is that the modules electrical connectivity is unaltered whereas the module position is altered.With the proposed topology, different kinds of shading patterns are imposed to carry out the performance analysis.The conventional SP and TCT configuration performance are compared with the proposed method which gave a significant rise in output power.An increase of 20.55% is observed by the proposed ECDV method for the crosswise shading pattern.From the analysis, the proposed method proves to be the most suitable and efficient method for generating maximum power under shading condition in nonsquare matrix photovoltaic (PV) system.

Authors

Publication Details

Journal
Journal of New Materials for Electrochemical Systems
Published
2024-12-31
DOI
https://doi.org/10.14447/jnmes.v27i4.a01
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Extended Cross Diagonal View Network Topology for a PV System of Non-Square Dimension under Shading Conditions to Yield Maximal Power

Martino Bosco, M. Mary Synthuja Jain Preetha, M. Carolin Mabel
Journal of New Materials for Electrochemical Systems
Photovoltaic System Optimization Techniques
article

An Extended Cross Diagonal View Network Topology for a PV System of Non-Square Dimension under Shading Conditions to Yield Maximal Power

Martino Bosco, M. Mary Synthuja Jain Preetha, M. Carolin Mabel
article en

Abstract

A PV module subjected to decrease in the solar irradiance conditions leads to the reduction of power production.Shading of modules is one of the problems encountered in the system which makes the system less productive.The cause of shading may be of different factors like buildings, clouds etc.Hence, in a PV system, the placement of modules in a grid arrangement is a vital part, which influence greatly in the generation of power.If the position of modules is rightly configured, then the possibility of incidence of solar irradiance on the PV module can be enhanced leading to higher performance of the system.Therefore, the existing conventional series parallel (SP) and total cross tied (TCT) configuration are reinforced with a novel network topology namely extended cross diagonal view (ECDV) is proposed.The design is that the modules electrical connectivity is unaltered whereas the module position is altered.With the proposed topology, different kinds of shading patterns are imposed to carry out the performance analysis.The conventional SP and TCT configuration performance are compared with the proposed method which gave a significant rise in output power.An increase of 20.55% is observed by the proposed ECDV method for the crosswise shading pattern.From the analysis, the proposed method proves to be the most suitable and efficient method for generating maximum power under shading condition in nonsquare matrix photovoltaic (PV) system.

Journal of New Materials for Electrochemical SystemsVol. 27(4)
Sustainable cities and communities
Openalex Percentile: Top 84%
Photovoltaic System Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.