A literature review on estimating of PV-array hourly power under cloudy weather conditions

Foad H. Gandoman, Fatima Raeisi and Abdollah Ahmadi

Renewable and Sustainable Energy Reviews, 2016, vol. 63, issue C, 579-592

Abstract: The capacity of installed photovoltaic cells (PVs) has been remarkably increased globally over past few decades. In addition, changing cloud cover (Oktas-scale) is an important component that influences on solar radiation hourly and plays a key role in electrical output power of PVs. However, it is necessary for electrical utilities to use a powerful model in order to forecast PV power systems on electrical networks. Thus, forecasting power output of PV systems increase the quality of modern power systems. This paper presents a comprehensive review on short term forecasting of solar PV power output in modern electrical networks. Additionally, a new model based on hourly measurements has been proposed in this research and was reported during the past 20 years in Sanandaj (Applied Research Center of Kurdistan Weather), located in west of Iran (14°.35′N, 46°.35′E). The results show that the possibility of changing hourly and PV output power estimate based on Oktas analysis have been calculated with minimum fault.

Keywords: Cloud coverage; PV output power; Forecasting; Short term; Solar radiation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S136403211630137X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:63:y:2016:i:c:p:579-592

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2016.05.027

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().