Real power transfer allocation method with the application of artificial neural network

M. W. Mustafa, S. N. Khalid, H. Shareef, A. Khairuddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new method to identify the real power transfer between generators and load using modified nodal equations. Based on solved load flow results, the method partitions the Y-bus matrix to decompose the current of the load buses as a function of the generators' current and load voltages. Then it uses the modified admittance matrix to decompose the load voltage dependent term into components of generator dependent terms. Finally using these two decompositions of current and voltage terms, the real power transfer between loads and generators are obtained. Next part of this paper focuses on creating an appropriate Artificial Neural Network (ANN) to solve the same problem in a simpler and faster manner. For this purpose, supervised learning paradigm and feedforward architecture have been chosen for the proposed ANN power transfer allocation technique. Almost all system variables obtained from load flow solutions are utilised as inputs to the neural network. Moreover, tan-sigmoid activation functions are incorporated in the hidden layer to realise the non-linear nature of the power transfer allocation. The modified IEEE 30-bus system is utilised as a test system to illustrate the effectiveness of the ANN technique compared to that of the modified nodal equations method.

Original languageEnglish
Title of host publicationProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
Pages135-142
Number of pages8
Publication statusPublished - 2008
Externally publishedYes
Event4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 - Langkawi
Duration: 2 Apr 20084 Apr 2008

Other

Other4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
CityLangkawi
Period2/4/084/4/08

Fingerprint

Neural networks
Electric potential
Supervised learning
Chemical activation
Decomposition

Keywords

  • Artificial neural network
  • Load flow
  • Modified nodal equations method and real power

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Cite this

Mustafa, M. W., Khalid, S. N., Shareef, H., & Khairuddin, A. (2008). Real power transfer allocation method with the application of artificial neural network. In Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 (pp. 135-142)

Real power transfer allocation method with the application of artificial neural network. / Mustafa, M. W.; Khalid, S. N.; Shareef, H.; Khairuddin, A.

Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. p. 135-142.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mustafa, MW, Khalid, SN, Shareef, H & Khairuddin, A 2008, Real power transfer allocation method with the application of artificial neural network. in Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. pp. 135-142, 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008, Langkawi, 2/4/08.
Mustafa MW, Khalid SN, Shareef H, Khairuddin A. Real power transfer allocation method with the application of artificial neural network. In Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. p. 135-142
Mustafa, M. W. ; Khalid, S. N. ; Shareef, H. ; Khairuddin, A. / Real power transfer allocation method with the application of artificial neural network. Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008. 2008. pp. 135-142
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