Abstract
This chapter consists of two sections, ‘Compound Microgrid Installation Operation Planning of a PEFC and Photovoltaics with Prediction of Electricity Production Using GA and Numerical Weather Information’ and ‘Energy Supply Characteristics of a Combined Solar Cell and Diesel Engine System with a Prediction Algorithm for Solar Power Generation’. The optimal operation algorithm of a photovoltaics compound microgrid is developed using numerical weather information (NWI) in the 1st section. The relation between the NWI error characteristics and the operation results of the system is clarified. The 2nd section proposes a prediction algorithm based on a neural network to predict the electricity production from a solar cell. The operation plan for a combined photovoltaics and diesel engine generator is examined using the NN prediction algorithm.
Reference27 articles.
1. Fuel cells and energy networks of electricity, heat, and hydrogen in residential areas
2. Application of neural networking models to predict energy use.;M.Anstett;ASHRAE Transaction,1993
3. An optimum dispatch strategy using set points for a photovoltaic (PV)–diesel–battery hybrid power system
4. Data of Japan Meteorological Agency. (2009). Retrieved from http://database.rish.kyoto-u.ac.jp/arch/jmadata/gpv-original.html, Kyoto University.
5. Development of home fuel cell cogeneration system in Tokyo Gas. (2009). ALIA News, 89.