A modified bacterial foraging algorithm based optimal reactive power dispatch
This article describes an approach for optimal reactive power dispatch problem using a Modified Bacterial Foraging Algorithm. Modified bacterial foraging algorithm introduces a differential evolution operator in chemotaxis to overcome tumble failure in tumble step and accelerates the convergence spe...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2019-01-01.
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| Online Access: | Get fulltext |
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| LEADER | 02628 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs12887_10304 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Reddy, Palvai Lokender |e author |
| 100 | 1 | 0 | |a Department of Electrical Engineering, uviversity college of Engineering, Osmania University |e contributor |
| 700 | 1 | 0 | |a Yesuratnam, G. |e author |
| 245 | 0 | 0 | |a A modified bacterial foraging algorithm based optimal reactive power dispatch |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-01-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12887 | ||
| 520 | |a This article describes an approach for optimal reactive power dispatch problem using a Modified Bacterial Foraging Algorithm. Modified bacterial foraging algorithm introduces a differential evolution operator in chemotaxis to overcome tumble failure in tumble step and accelerates the convergence speed of the original operator. In the new algorithm chaotic dynamics are used to generate initial population to have uniform distribution. The proposed new algorithm is applied to Optimal reactive power dispatch problem with two objective functions; minimization of real power loss and voltage stability L-index. The objective functions are minimized by optimally choosing the control variables such as generator excitations, tap positions of on-load tap changing transformers and switched var compensators. The proposed approach has been evaluated on an IEEE 30 bus standard test system. The performance of the proposed algorithm is compared with other evolutionary computation algorithms in the literature and the effectiveness of the proposed algorithm is demonstrated. | ||
| 540 | |a Copyright (c) 2018 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a power systems; reactive power optimization; evolutionary computation algorithms; Bacterial Foraging algorithm | ||
| 690 | |a optimal reactive power dispatch; chemotaxis enhanced Bacterial foraging algorithm; OLTC; shunt capacitors; voltage deviations; differential mutation; chaotic dynamics. | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 13, No 1: January 2019; 361-367 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v13.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12887/10304 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12887/10304 |z Get fulltext |