A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

Autor:	MCarmen Romero-Ternero, David Oviedo-Olmedo, Alejandro Carrasco, Joaquín Luque
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	multi-agent system bayesian network expert system estimation battery soc solar farm sensors Chemical technology TP1-1185
Zdroj:	Sensors, Vol 19, Iss 22, p 4998 (2019)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s19224998
Popis:	A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecontrol multiagent system for monitoring solar farms with distributed sensors, which was developed in a previous work. To this end, a Bayesian network model and its implementation are proposed. The resulting system meets the requirements of telecontrol systems (reliability, flexibility, and response time), yields a solution for the prediction of lifespan batteries, and provides the multiagent system with autonomous intelligent capabilities and integrated learning.
Databáze:	Directory of Open Access Journals
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