2013
DOI: 10.1109/jphotov.2012.2230684
|View full text |Cite
|
Sign up to set email alerts
|

An Optimization Method for Designing Large PV Plants

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
37
0
4

Year Published

2014
2014
2023
2023

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 113 publications
(41 citation statements)
references
References 26 publications
0
37
0
4
Order By: Relevance
“…Consequently, the main drawback of these methods is that they cannot differentiate between a local maximum point (LMP) and the GMP, and the attained point may be a LMP, leading to power losses. Note that in general, for a utility scale PV system, although the site will be carefully selected to ensure good solar irradiance and to avoid partial shading (PS) caused by other buildings or surrounding obstacles, the PS caused by clouds and the mutual shading occurred between adjacent PV blocks are inevitable in practice [7], [8]. For residential PV installations, PS caused by buildings, trees, clouds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, the main drawback of these methods is that they cannot differentiate between a local maximum point (LMP) and the GMP, and the attained point may be a LMP, leading to power losses. Note that in general, for a utility scale PV system, although the site will be carefully selected to ensure good solar irradiance and to avoid partial shading (PS) caused by other buildings or surrounding obstacles, the PS caused by clouds and the mutual shading occurred between adjacent PV blocks are inevitable in practice [7], [8]. For residential PV installations, PS caused by buildings, trees, clouds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Largest DC onshore and offshore renewable grids are in range of several hundred MWs [156], [157]. [158].…”
Section: E Electric Vehicle Fast Charging Stationsmentioning
confidence: 99%
“…Over this study, the algorithm was used to select the optimal combination of the system components (PV module and inverter) so that the PR was maximized. In [10], a genetic algorithm was developed for the calculation of the optimal configuration of large PV plants aiming at minimizing the levelized cost of energy (LCOE). The design optimization was carried out considering the number of components and their arrangement within the field as well as the lifetime cost and energy production.…”
Section: Of 17mentioning
confidence: 99%