Conference paper
Maximum loadability achievement in SWER networks using optimal sizing and locating of batteries
2013 Australasian Universities Power Engineering Conference (AUPEC)
Australasian Universities Power Engineering Conference (AUPEC) 2013 (Hobart, Tasmania, 29/09/2013–03/10/2013)
2013
Abstract
This paper presents an optimisation algorithm to maximize the loadability of single wire earth return (SWER) by minimizing the cost of batteries and regulators considering the voltage constraints and thermal limits. This algorithm, that finds the optimum location of batteries and regulators, uses hybrid discrete particle swarm optimization and mutation (DPSO + Mutation). The simulation results on realistic highly loaded SWER network show the effectiveness of using battery to improve the loadability of SWER network in a cost-effective way. In this case, while only 61% of peak load can be supplied without violating the constraints by existing network, the loadability of the network is increased to peak load by utilizing two battery sites which are located optimally. That is, in a SWER system like the studied one, each installed kVA of batteries, optimally located, supports a loadability increase as 2 kVA.
Details
- Title
- Maximum loadability achievement in SWER networks using optimal sizing and locating of batteries
- Authors/Creators
- A. Arefi (Author/Creator) - Queensland University of TechnologyG. Ledwich (Author/Creator) - Queensland University of Technology
- Publication Details
- 2013 Australasian Universities Power Engineering Conference (AUPEC)
- Conference
- Australasian Universities Power Engineering Conference (AUPEC) 2013 (Hobart, Tasmania, 29/09/2013–03/10/2013)
- Identifiers
- 991005542418107891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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