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Chapter 10

Solar Cell/Diesel Engine Compound System with Production-of-Electricity Prediction

A microgrid with the sustainable energy is expected to be a distributed energy system that exhibits quite a small environmental impact. In the past study, the production-of-electricity prediction algorithm (PAS) of the solar cell was developed. In PAS, a layered neural network is made to learn based on past weather data and the operation plan of the compound system of a solar cell and other energy systems was examined using this prediction algorithm. In this Chapter, a dynamic operational scheduling algorithm is developed using a neural network and a genetic algorithm (GA) to provide predictions for solar cell power output. We also do a case study analysis in which we use this algorithm to plan the operation of a system that connects nine houses in Sapporo in Japan to a microgrid composed of power equipment and a polycrystalline silicon solar cell. In this work, the relationship between the accuracy of output prediction of the solar cell and the operation plan of the microgrid was clarified.

Publication details

https://doi.org/10.1039/9781849731041-00185
Print publication date
24 Aug 2010
Copyright year
2010
Print ISBN
978-1-84973-031-0
PDF eISBN
978-1-84973-104-1
From the book series:
RSC Energy Series