Hussain, Shareef and Abd. Khalid, Saifulnizam and Mohd., Sulaiman Herwan and Mustafa, Mohd. Wazir (2014) Application of artificial intelligent systems for real power transfer allocation. Journal of Central South University, 21 (7). pp. 2719-2730. ISSN 2095-2899
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Official URL: http://dx.doi.org/10.1007/s11771-014-2234-7
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence, power system deregulation, power tracing, support vector machine |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 51887 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 01 Feb 2016 03:53 |
| Last Modified: | 09 Nov 2018 08:29 |
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