Application of artificial intelligent systems for real power transfer allocation

Shareef Hussain, Abd Khalid Saifulnizam, Sulaiman Herwan Mohd, Mustafa Wazir Mohd

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2719-2730
Number of pages12
JournalJournal of Central South University
Volume21
Issue number7
DOIs
Publication statusPublished - Jul 2014
Externally publishedYes

Keywords

  • artificial intelligence
  • power system deregulation
  • power tracing
  • support vector machine

ASJC Scopus subject areas

  • General Engineering
  • Metals and Alloys

Fingerprint

Dive into the research topics of 'Application of artificial intelligent systems for real power transfer allocation'. Together they form a unique fingerprint.

Cite this