TY  - JOUR
T1  - Generalize Predictive Control in Micro Grid DC System
AU - J. Valencia C., Angie AU - F. Mauledoux, Mauricio AU - Mejia Ruda, Edilberto AU - Caldas, Oscar I. AU - F. Aviles, Oscar 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 20
SP  - 8360
EP  - 8371
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.8360.8371
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.8360.8371
KW  - Socket
KW  -stump
KW  -stress
KW  -biomechanics
KW  -interface
KW  -principle challenge
AB  - The energies systems are the principle challenge for the future of rural or urban society where the engineering search the solutions that make a green system for supplied the actual demand. For that the implementation of renewable energy is growing, due to lack in nature reserve, the pollution excess and the continuous demand in the use of energy to supply the necessities in the common life. It means that we need to change the way to use the environmental resources to get it using green energy sources. This research shows the results obtained by perform a generalized predictive control as one of predictive control theories in a micro grids systems because it needs few parameters and adopts strategies of multi-step prediction, receding-horizon optimization and feedback correction which has good tracking characteristic and reduces on-line calculations of control algorithm. Based on the discrete Controlled Autoregressive Integrated Moving Average (CARIMA) Model, the control algorithm was combined with merits of adaptive control which made control system possess of excellent robust and intelligent capability.
ER  -