TY - JOUR
T1 - Application of artificial intelligent systems for real power transfer allocation
AU - Hussain, Shareef
AU - Saifulnizam, Abd Khalid
AU - Mohd, Sulaiman Herwan
AU - Mohd, Mustafa Wazir
N1 - Funding Information:
The authors wish to acknowledge the Ministry of Higher Education, Malaysia (MOHE) for the financial funding of this project, and Universiti Kebangsaan Malaysia and Universiti Teknologi Malaysia for providing infrastructure and moral support for the research work.
PY - 2014/7
Y1 - 2014/7
N2 - The application of various artificial intelligent (AI) techniques, namely artificial neural network (ANN), adaptive neuro fuzzy interface system (ANFIS), genetic algorithm optimized least square support vector machine (GA-LSSVM) and multivariable regression (MVR) models was presented to identify the real power transfer between generators and loads. These AI techniques adopt supervised learning, which first uses modified nodal equation (MNE) method to determine real power contribution from each generator to loads. Then the results of MNE method and load flow information are utilized to estimate the power transfer using AI techniques. The 25-bus equivalent system of south Malaysia is utilized as a test system to illustrate the effectiveness of various AI methods compared to that of the MNE method.
AB - The application of various artificial intelligent (AI) techniques, namely artificial neural network (ANN), adaptive neuro fuzzy interface system (ANFIS), genetic algorithm optimized least square support vector machine (GA-LSSVM) and multivariable regression (MVR) models was presented to identify the real power transfer between generators and loads. These AI techniques adopt supervised learning, which first uses modified nodal equation (MNE) method to determine real power contribution from each generator to loads. Then the results of MNE method and load flow information are utilized to estimate the power transfer using AI techniques. The 25-bus equivalent system of south Malaysia is utilized as a test system to illustrate the effectiveness of various AI methods compared to that of the MNE method.
KW - artificial intelligence
KW - power system deregulation
KW - power tracing
KW - support vector machine
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U2 - 10.1007/s11771-014-2234-7
DO - 10.1007/s11771-014-2234-7
M3 - Article
AN - SCOPUS:84904300435
SN - 2095-2899
VL - 21
SP - 2719
EP - 2730
JO - Journal of Central South University
JF - Journal of Central South University
IS - 7
ER -