Title :
Small scale, multi input, multi output renewable energy systems
Author :
Dory, Zs Molnarne ; Grof, Gy
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest, Hungary
Abstract :
Increasing utilization of renewable energy is one of the most important energetical goals to achieve besides decreasing the overall energy consumption. Our ongoing research is about small scale, local, renewable energy systems that use more and not only one energy sources contrary of conventional practice. These multi input, multi output energy systems with proper, advanced control could provide the highest usage rate from the produced renewable energy locally. In present work a new model in Matlab environment is started to be developed using soft computing, in first case fuzzy logic control for implementing sophisticated decisions depending on the measured values and forecasted expectations of the energy system. In order to validate the model a micro and a small scale system were designed. The systems are in execution phase. The actual state is published in this article.
Keywords :
MIMO systems; distributed power generation; fuzzy logic; neural nets; power engineering computing; renewable energy sources; uncertainty handling; Matlab environment; multi input multi output renewable energy systems; small scale renewable energy systems; soft computing; usage rate; Batteries; Computational modeling; Fuzzy logic; MATLAB; Mathematical model; Renewable energy sources; Wind power generation; Distributed power generation; batteries; fuzzy logic; power system measurements; renewable energy sources; small scale local energy system; soft computing; solar energy; wind energy;
Conference_Titel :
Energy (IYCE), 2013 4th International Youth Conference on
Conference_Location :
Sio??fok
DOI :
10.1109/IYCE.2013.6604203