TY - JOUR
T1 - A method for real power transfer allocation using multivariable regression analysis
AU - Shareef, Hussain
AU - Mohamed, Azah
AU - Khalid, Saifunizam Abd
AU - Mustafa, Mohd 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 - 2012/1
Y1 - 2012/1
N2 - A multivariable regression (MVR) approach is proposed to identify the real power transfer between generators and loads. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine real power contribution from each generator to loads. Then, the results of MNE method and load flow information are utilized to determine suitable regression coefficients using MVR model to estimate the power transfer. The 25-bus equivalent system of south Malaysia is utilized as a test system to illustrate the effectiveness of the MVR output compared to that of the MNE method. The error of the estimate of MVR method ranges from 0.001 4 to 0.007 9. Furthermore, when compared to MNE method, MVR method computes generator contribution to loads within 26.40 ms whereas the MNE method takes 360 ms for the calculation of same real power transfer allocation. Therefore, MVR method is more suitable for real time power transfer allocation.
AB - A multivariable regression (MVR) approach is proposed to identify the real power transfer between generators and loads. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine real power contribution from each generator to loads. Then, the results of MNE method and load flow information are utilized to determine suitable regression coefficients using MVR model to estimate the power transfer. The 25-bus equivalent system of south Malaysia is utilized as a test system to illustrate the effectiveness of the MVR output compared to that of the MNE method. The error of the estimate of MVR method ranges from 0.001 4 to 0.007 9. Furthermore, when compared to MNE method, MVR method computes generator contribution to loads within 26.40 ms whereas the MNE method takes 360 ms for the calculation of same real power transfer allocation. Therefore, MVR method is more suitable for real time power transfer allocation.
KW - deregulation
KW - multivariable regression
KW - power systems
KW - power tracing
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U2 - 10.1007/s11771-012-0989-2
DO - 10.1007/s11771-012-0989-2
M3 - Article
AN - SCOPUS:84856257871
SN - 1005-9784
VL - 19
SP - 179
EP - 186
JO - Journal of Central South University of Technology (English Edition)
JF - Journal of Central South University of Technology (English Edition)
IS - 1
ER -