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Forecasting electric power generation in a photovoltaic power system for an energy network
Author(s) -
Kudo Mitsuru,
Takeuchi Akira,
Nozaki Yousuke,
Endo Hisahito,
Sumita Jiro
Publication year - 2009
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20755
Subject(s) - photovoltaic system , electric power system , power (physics) , electricity generation , electrical engineering , electric power , energy (signal processing) , engineering , power network , power station , automotive engineering , computer science , reliability engineering , environmental science , mathematics , statistics , physics , quantum mechanics
Recently, there has been an increase in concern about the global environment. Interest is growing in developing an energy network by which new energy systems such as photovoltaic and fuel cells generate power locally and electrical power and heat are controlled with a communication network. We developed the power generation forecast method for photovoltaic power systems in an energy network. The method makes use of weather information and regression analysis. We carried out forecasting power output of the photovoltaic power system installed in Expo 2005, Aichi Japan. As a result of comparing measurements with prediction values, the average prediction error per day was about 26% of the measured power. © 2009 Wiley Periodicals, Inc. Electr Eng Jpn, 167(4): 16–23, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20755