Intelligent power management strategy of hybrid distributed generation system using artificial neural networks

Nor Aira Zambri, Azah Mohamed, Mohd Z. Bin Che Wanik

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

1 Citation (Scopus)

Abstract

This paper presents the application of Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural network for managing active and reactive powers of distributed generation (DG) units in distribution systems. A two-stage intelligent technique is proposed using an iterative interior-point algorithm optimization procedure for collecting the optimal power settings of several DG units in the first stage. In the second-stage, the optimal data obtained from the optimization process are then used for training the MLP and RBF neural networks which will then predict the next time step of active and reactive power references of each DG unit for online application. The results show that the MLP network has the ability in predicting the optimal power reference of the DG units with small errors compared to the RBF network. However, the RBF network converges faster compared to the MLP network.

Original languageEnglish
Title of host publication2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014
PublisherIEEE Computer Society
Pages519-524
Number of pages6
ISBN (Print)9781479913008
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014 - Kuala Lumpur, Malaysia
Duration: 20 May 201423 May 2014

Other

Other2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014
CountryMalaysia
CityKuala Lumpur
Period20/5/1423/5/14

Fingerprint

Distributed power generation
Multilayer neural networks
Neural networks
Radial basis function networks
Reactive power
Power management
Distributed generation
Radial basis function
Artificial neural network
Management strategy

Keywords

  • Artificial Neural Network
  • Distributed Generation
  • Online Management

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

Zambri, N. A., Mohamed, A., & Wanik, M. Z. B. C. (2014). Intelligent power management strategy of hybrid distributed generation system using artificial neural networks. In 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014 (pp. 519-524). [6873846] IEEE Computer Society. https://doi.org/10.1109/ISGT-Asia.2014.6873846

Intelligent power management strategy of hybrid distributed generation system using artificial neural networks. / Zambri, Nor Aira; Mohamed, Azah; Wanik, Mohd Z. Bin Che.

2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society, 2014. p. 519-524 6873846.

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

Zambri, NA, Mohamed, A & Wanik, MZBC 2014, Intelligent power management strategy of hybrid distributed generation system using artificial neural networks. in 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014., 6873846, IEEE Computer Society, pp. 519-524, 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2014, Kuala Lumpur, Malaysia, 20/5/14. https://doi.org/10.1109/ISGT-Asia.2014.6873846
Zambri NA, Mohamed A, Wanik MZBC. Intelligent power management strategy of hybrid distributed generation system using artificial neural networks. In 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society. 2014. p. 519-524. 6873846 https://doi.org/10.1109/ISGT-Asia.2014.6873846
Zambri, Nor Aira ; Mohamed, Azah ; Wanik, Mohd Z. Bin Che. / Intelligent power management strategy of hybrid distributed generation system using artificial neural networks. 2014 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2014. IEEE Computer Society, 2014. pp. 519-524
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