PV/Battery Water Pumping System Based on Firefly Optimizing Algorithm

Fethia Hamidia

doi:10.1007/978-3-030-04789-4_19

2018-11-24

PRE

Fethia Hamidia *

Amel Abbadi

Mohamed Seghir Boucherit

DOI：10.1007/978-3-030-04789-4_19

原文链接

摘要

En 中文

Since the beginning of the century, global energy consumption has been growing strongly in all regions of the world. It seems likely that energy consumption will continue to increase, as a result of economic growth on the one hand, and of the increase in per capita electricity consumption on the other, whatever the scenarios considered. For this reason, renewable energies appear today and in the long term as the appropriate solution that covers this energy need by reducing the major disadvantage emitted by fossil and fissionable energies. This paper proposes in one hand, an artificial neural network controller to track the maximum power point and to get better performance mainly on variation of load and weather condition. In second hand, we added to our system a battery and voltage PID controller based on Firefly Algorithm FA to tune their parameter.

Keyword:

Induction motor

PVG

MPPT

Battery

Firefly algorithm