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Author Shinozaki, K. ♦ Yamakawa, N. ♦ Sasaki, T. ♦ Inoue, T.
Sponsorship IEEE Power Engineering Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1969
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Spatiotemporal phenomena ♦ Clouds ♦ Indexes ♦ Correlation ♦ Delays ♦ Power generation ♦ Meteorology ♦ spatiotemporal kriging ♦ Covariance ♦ dependence on weather conditions ♦ photovoltaic generation ♦ spatial averaging effect
Abstract Photovoltaic (PV) power generation is being decentralized and introduced on various scales in electric power systems that are expanding over wider areas. To understand the effect of PV power generation on these electric power systems (in areas ranging from power generation operation and control to voltage management of the distribution system), areal solar irradiance must be estimated for a target area, particularly, for the position and surface area that correspond to the PV power generation equipment location. By applying spatiotemporal kriging and covariance analysis to observed solar irradiance time series (obtained from sparsely distributed solar irradiance meters), we developed a technique that determines areal solar irradiance for an arbitrary location and surface area to estimate its surficial distribution. The weather conditions under which the spatiotemporal kriging technique can be applied were clarified using solar irradiance and meteorological observations during a one-year period at 25 observation points in the Kansai area.
Description Author affiliation :: Mitsubishi Res. Inst. (MRI), Tokyo, Japan
Author affiliation :: Power Eng. R&D Center, Kansai Electr. Power Co. (KEPCO), Osaka, Japan
ISSN 08858950
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 31
Issue Number 1
Size (in Bytes) 1.87 MB
Page Count 8
Starting Page 35
Ending Page 42

Source: IEEE Xplore Digital Library