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Optimal Placement of Multiple Feeder Terminal Units Using Intelligent Algorithms
- Source :
- Applied Sciences, Volume 10, Issue 1, Applied Sciences, Vol 10, Iss 1, p 299 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- In order to solve the placement problem of three kinds of feeder terminal units (FTU) in the distribution network, this paper proposes a novel mathematical model. The model considers economic cost and electricity supply reliability from the perspective of life cycle cost. The reliability algorithm in this model is established for the distribution network configured with centralized feeder automation. Different evaluation indices of reliability and the importance of several kinds of customers are also considered in this model. Aiming at the reliability evaluation in this model, this paper puts forward the reliability analysis method for the distribution network with three kinds of FTUs. In view of the difficulty to express the reliability of distribution network in a formula with decision variables, and the non-deterministic polynomial hard (NP-hard) nature of this model, a variety of intelligent algorithms are applied to solve the model. The feasibility and effectiveness of the model and methods for FTUs placement optimization problem are verified by a case study of the Roy Billinton test system (RBTS) Bus 5 system.
- Subjects :
- Polynomial
Optimization problem
Mains electricity
Computer science
020209 energy
feeder terminal unit
02 engineering and technology
lcsh:Technology
lcsh:Chemistry
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
lcsh:QH301-705.5
Instrumentation
Reliability (statistics)
placement optimization problem
Fluid Flow and Transfer Processes
reliability
lcsh:T
business.industry
Process Chemistry and Technology
020208 electrical & electronic engineering
Perspective (graphical)
feeder automation
General Engineering
Automation
lcsh:QC1-999
Computer Science Applications
Variety (cybernetics)
Reliability engineering
lcsh:Biology (General)
lcsh:QD1-999
Terminal (electronics)
lcsh:TA1-2040
distribution automation
intelligent algorithms
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....4f2051be827b34b8bbd5480ff7a42c93
- Full Text :
- https://doi.org/10.3390/app10010299