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MSA for Optimal Reconfiguration and Capacitor Allocation in Radial/Ring Distribution Networks
- Source :
- International Journal of Interactive Multimedia and Artificial Intelligence, Vol 5, Iss 1, Pp 107-122 (2018), Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja, instname
- Publication Year :
- 2018
- Publisher :
- Universidad Internacional de La Rioja (UNIR), 2018.
-
Abstract
- This work presents a hybrid heuristic search algorithm called Moth Swarm Algorithm (MSA) in the context of power loss minimization of radial distribution networks (RDN) through optimal allocation and rating of shunt capacitors for enhancing the performance of distribution networks. With MSA, different optimization operators are used to mimic a set of behavioral patterns of moths in nature, which allows for flexible and powerful optimizer. Hence, a new dynamic selection strategy of crossover points is proposed based on population diversity to handle the difference vectors Levy-mutation to force MSA jump out of stagnation and enhance its exploration ability. In addition, a spiral motion, adaptive Gaussian walks, and a novel associative learning mechanism with immediate memory are implemented to exploit the promising areas in the search space. In this article, the MSA is tested to adapt the objective function to reduce the system power losses, reduce total system cost and consequently increase the annual net saving with inequity constrains on capacitor size and voltage limits. The validation of the proposed algorithm has been tested and verified through small, medium and large scales of standard RDN of IEEE (33, 69, 85-bus) systems and also on ring main systems of 33 and 69-bus. In addition, the obtained results are compared with other algorithms to highlight the advantages of the proposed approach. Numerical results stated that the MSA can achieve optimal solutions for losses reduction and capacitor locations with finest performance compared with many existing algorithms.
- Subjects :
- Statistics and Probability
Mathematical optimization
Computer Networks and Communications
Computer science
020209 energy
loss reduction
Crossover
radial distribution system
Context (language use)
02 engineering and technology
Optimal Capacitor Location
Loss Reduction
lcsh:Technology
law.invention
Reduction (complexity)
Artificial Intelligence
law
0202 electrical engineering, electronic engineering, information engineering
moth swarm algorithm
lcsh:T
optimal capacitor location
Control reconfiguration
IJIMAI
Moth Swarm Algorithm
Computer Science Applications
Power (physics)
Associative learning
Capacitor
Signal Processing
020201 artificial intelligence & image processing
Radial Distribution System
Computer Vision and Pattern Recognition
Minification
Subjects
Details
- Language :
- English
- ISSN :
- 19891660
- Volume :
- 5
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- International Journal of Interactive Multimedia and Artificial Intelligence
- Accession number :
- edsair.doi.dedup.....d2e28c72474b81cf8141deeb3d09b081