TY - GEN
T1 - Real power transfer allocation via continuous genetic algorithm-least squares support vector machine technique
AU - Mustafa, Mohd Wazir
AU - Sulaiman, Mohd Herwan
AU - Khalid, Saifulnizam Abd
AU - Shareef, Hussain
PY - 2010
Y1 - 2010
N2 - This paper proposes a new hybrid technique, Continuous Genetic Algorithm and Least Squares Support Vector Machine to allocate the real power transfer from generators to loads, namely CGA-LSSVM. CGA is used to obtain the optimal value of hyper-parameters of LS-SVM and supervised learning approach is adopted in the training of LSSVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on load profile of the system and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM is expected to be able to assess which generators are supplying to which specific loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique.
AB - This paper proposes a new hybrid technique, Continuous Genetic Algorithm and Least Squares Support Vector Machine to allocate the real power transfer from generators to loads, namely CGA-LSSVM. CGA is used to obtain the optimal value of hyper-parameters of LS-SVM and supervised learning approach is adopted in the training of LSSVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on load profile of the system and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM is expected to be able to assess which generators are supplying to which specific loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique.
KW - Continuous genetic algorithm (CGA)
KW - Least Squares Support Vector Machine (LS-SVM)
KW - Proportional sharing principle (PSP)
UR - http://www.scopus.com/inward/record.url?scp=79951787462&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951787462&partnerID=8YFLogxK
U2 - 10.1109/PECON.2010.5697549
DO - 10.1109/PECON.2010.5697549
M3 - Conference contribution
AN - SCOPUS:79951787462
SN - 9781424489466
T3 - PECon2010 - 2010 IEEE International Conference on Power and Energy
SP - 12
EP - 17
BT - PECon2010 - 2010 IEEE International Conference on Power and Energy
T2 - 2010 IEEE International Conference on Power and Energy, PECon2010
Y2 - 29 November 2010 through 1 December 2010
ER -