TY  - JOUR
T1  - Short Term Generation Scheduling Using Cascade Correlation Algorithms
with Transmission Constraints
AU - , T. Sree Renga Raja AU - , N.S. Marimuthu AU - , R. Shankara Narayanan 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 10
SP  - 895
EP  - 900
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.895.900
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.895.900
KW  - Artificial neural network
KW  -cascade correlation
KW  -economic dispatch
KW  -generation scheduling
KW  -optimization and unit commitment
AB  - An artificial neural network based cascade correlation algorithms is investigated for the short term generation scheduling of thermal units considering the real power limit of generators, real power demand, spinning reserve, minimum up and down times of the units. In order to expedite the execution, an Artificial neural network is used to generate a possible unit commitment schedule and a heuristic procedure is employed to modify the unit commitment to achieve a feasible and near optimal solution. The cascade correlation algorithm employs several novel modifications, including the ability to add units when necessary. The results of this method are promising when compared to other existing methods.
ER  -