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Content Provider | IEEE Xplore Digital Library |
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Author | Anwar, A. Mahmood, A.N. |
Copyright Year | 2014 |
Description | Author affiliation: Univ. of New South Wales, Canberra, ACT, Australia (Anwar, A.; Mahmood, A.N.) |
Abstract | Recently there has been increasing interest in improving smart grids efficiency using computational intelligence. A key challenge in future smart grid is designing Optimal Power Flow tool to solve important planning problems including optimal DG capacities. Although, a number of OPF tools exists for balanced networks there is a lack of research for unbalanced multi-phase distribution networks. In this paper, a new OPF technique has been proposed for the DG capacity planning of a smart grid. During the formulation of the proposed algorithm, multi-phase power distribution system is considered which has unbalanced loadings, voltage control and reactive power compensation devices. The proposed algorithm is built upon a co-simulation framework that optimizes the objective by adapting a constriction factor Particle Swarm optimization. The proposed multi-phase OPF technique is validated using IEEE 8500-node benchmark distribution system. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 10689826 |
Page Count | 5 |
File Format | |
ISBN | 9781479964154 |
DOI | 10.1109/PESGM.2014.6939824 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-07-27 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Smart grids Optimization Particle swarm optimization Power system stability Genetic algorithms Voltage control 8500 node test system Smart grid Unbalanced multi-phase OPF CF-PSO Co-simulation |
Content Type | Text |
Resource Type | Article |
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