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Content Provider | IEEE Xplore Digital Library |
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Author | Ghadami, S. Moghiman, M. |
Copyright Year | 2007 |
Description | Author affiliation: Bou Ali Sina Univ., Hamadan (Ghadami, S.; Moghiman, M.) |
Abstract | This paper proposes a method to control the total harmonic distortion of voltage (THDV) with a new simulated annealing algorithm. The non-linear relationship between voltage harmonics and the THDV is identified by using the revised group method of data handling (RGMDH) based on the self-organization technique. A new chaotic simulated annealing algorithm (NCSA) is applied to minimize the THDV. The SA algorithm accepts higher energy solutions with probability of min (1, exp (-DeltaE/T)). To evade time wasting exponential calculations, the proposed algorithm introduces a new acceptance criterion that uses a chaotic structure and allows efficient state transitions. Determination of the appropriate neighborhood range is a main concern in SA algorithm. Therefore, in order to search the neighborhood sufficiently and efficiently, a different approach has been taken toward the neighbor selection process combining chaotic maps and Gaussian distribution. The effectiveness of the proposed method is demonstrated by test data. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 2131776 |
Page Count | 6 |
File Format | |
ISBN | 142440892X |
DOI | 10.1109/ICEE.2007.4287314 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-04-11 |
Publisher Place | Pakistan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Chaos Power engineering Data handling Computational modeling Computer simulation Simulated Annealing Power system harmonics Revised Group Method of Data Handling Voltage Harmonics Voltage control Total harmonic distortion Simulated annealing Harmonic distortion Chaotic Sequences |
Content Type | Text |
Resource Type | Article |
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