Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm

Due to an exponential increase in load demand and lack of capital resources to improve the existing transmission line infrastructure, power utilities are focusing on methods to increase the efficiency and loadability of existing infrastructure. This study presents a new approach for simultaneous opt...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2016-07, Vol.10 (10), p.2277-2284
Main Authors: Aman, Muhammad Mohsin, Jasmon, Ghauth B, Mokhlis, Hazlee, Bakar, Ab Halim Abu
Format: Article
Language:English
Subjects:
16‐bus radial distribution test system
33‐bus radial distribution test system
69‐bus radial distribution test system
Algorithms
Allocations
DG placement
discrete artificial bee colony algorithm
distributed power generation
Infrastructure
load demand
optimisation
Optimization
optimum tie switches allocation
Placement
Power efficiency
power semiconductor switches
power supply quality
power system loss reduction
power transmission lines
power utilities
simultaneous optimum distributed generation placement
Swarm intelligence
system loadability maximisation
transmission line infrastructure improvement
Voltage
voltage quality improvement
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Summary:Due to an exponential increase in load demand and lack of capital resources to improve the existing transmission line infrastructure, power utilities are focusing on methods to increase the efficiency and loadability of existing infrastructure. This study presents a new approach for simultaneous optimum distributed generation (DG) placement and optimum tie-switch allocation based on maximisation of system loadability using discrete artificial bee colony algorithm. The proposed algorithm is tested on 16-Bus, 33-Bus and 69-Bus radial distribution test system. The obtained results show that with simultaneous optimum DG placement and optimum tie-switch allocation, better results are achieved rather than solving two problems independently. Further it was also found that the proposed method has improved the efficiency of the system in terms of maximisation of system loadability, reduction in power system losses, improving the kVA margin to maximum loadability and voltage quality improvement.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2015.0303