Power Optimization by Cooling Photovoltaic Plants as a Dynamic Self-adaptive Regulation Problem

Valerian Guivarch, Carole Bernon, Marie-Pierre Gleizes

Abstract

This paper shows an approach to control cooling devices for photovoltaic plants in order to optimize the energy production thanks to a limited reserve of harvested rainwater. This is a complex problem, considering the dynamic environment and the interdependence of the parameters, such as the weather data and the state of the photovoltaic panels. Our claim is to design a system composed of autonomous components cooperating in order to obtain an emergent efficient control.

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Paper Citation


in Harvard Style

Guivarch V., Bernon C. and Gleizes M. (2018). Power Optimization by Cooling Photovoltaic Plants as a Dynamic Self-adaptive Regulation Problem.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 276-281. DOI: 10.5220/0006654502760281


in Bibtex Style

@conference{icaart18,
author={Valerian Guivarch and Carole Bernon and Marie-Pierre Gleizes},
title={Power Optimization by Cooling Photovoltaic Plants as a Dynamic Self-adaptive Regulation Problem},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={276-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006654502760281},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Power Optimization by Cooling Photovoltaic Plants as a Dynamic Self-adaptive Regulation Problem
SN - 978-989-758-275-2
AU - Guivarch V.
AU - Bernon C.
AU - Gleizes M.
PY - 2018
SP - 276
EP - 281
DO - 10.5220/0006654502760281