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Publication
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| Title of Article |
High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm |
| Date of Acceptance |
24 February 2021 |
| Journal |
| Title of Journal |
Energies |
| Standard |
ISI |
| Institute of Journal |
MDPI www.mdpi.com St. Alban-Anlage 66, 4052 Basel, Switzerland |
| ISBN/ISSN |
- |
| Volume |
2021 |
| Issue |
Issue 5 |
| Month |
มีนาคม |
| Year of Publication |
2021 |
| Page |
1238 |
| Abstract |
Power quality disturbance (PQD) is an important issue in electrical distribution systems that needs to be detected promptly and identified to prevent the degradation of system reliability. This work proposes a PQD classification using a novel algorithm, comprised of the artificial bee colony (ABC) and the particle swarm optimization (PSO) algorithms, called “adaptive ABC-PSO” as the feature selection algorithm. The proposed adaptive technique is applied to a combination of ABC and PSO algorithms, and then used as the feature selection algorithm. A discrete wavelet transform is used as the feature extraction method, and a probabilistic neural network is used as the classifier. We found that the highest classification accuracy (99.31%) could be achieved through nine optimally selected features out of all 72 extracted features. Moreover, the proposed PQD classification system demonstrated high performance in a noisy environment, as well as the real distribution system. When comparing the presented PQD classification system’s performance to previous studies, PQD classification accuracy using adaptive ABC-PSO as the optimal feature selection algorithm is considered to be at a high-range scale; therefore, the adaptive ABC-PSO algorithm can be used to classify the PQD in a practical electrical distribution system. |
| Keyword |
power quality disturbance classification; optimal feature selection; probabilistic neural network; particle swarm optimization; artificial bee colony |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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