The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation
Abstract
This study proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generation (DG) units in distribution system with non-unity power factor considering different load models. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. The proposed multi-objective function to be optimised includes a short-circuit-level parameter to represent the protective device requirements. The proposed function also considers a wide range of technical issues such as active and reactive power losses of the system, the voltage profile, the line loading and the Mega Volt Ampere (MVA) intake by the grid. The optimisation technique based on particle swarm optimisation is introduced. The analysis of continuation power flow to determine the effect of DG units on the most sensitive buses to voltage collapse is carried out. The proposed algorithm is tested using the 38-bus radial system and the IEEE 30-bus meshed system. The results show the effectiveness of the proposed algorithm.
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Cites
A modified particle swarm optimizer
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Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
Liang, J. J., Qin, A. K., Suganthan, P. N., & Baskar, S. (2006) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2005.857610 · Cited by 3,743
The Fully Informed Particle Swarm: Simpler, Maybe Better
Mendes, R., Kennedy, J., & Neves, J. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826074 · Cited by 1,745
Load representation for dynamic performance analysis (of power systems)
Price, W. W., Chiang, H., Clark, H. K., Concordia, C., Lee, D. C., Hsu, J. C., Ihara, S., King, C., Lin, C., Mansour, Y., et al. (1993) · IEEE Transactions on Power Systems · doi:10.1109/59.260837 · Cited by 938
A Multiobjective Evolutionary Algorithm for the Sizing and Siting of Distributed Generation
Celli, G., Ghiani, E., Mocci, S., & Pilo, F. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.846219 · Cited by 749
An analytical method for the sizing and siting of distributed generators in radial systems
Gözel, T., & Hocaoğlu, M. H. (2009) · Electric Power Systems Research · doi:10.1016/j.epsr.2008.12.007 · Cited by 645
An Integrated Distributed Generation Optimization Model for Distribution System Planning
El‐Khattam, W., Hegazy, Y. G., & Salama, M. M. A. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.846114 · Cited by 526
Multiobjective Optimization for DG Planning With Load Models
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A Method for Placement of DG Units in Distribution Networks
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Evaluating Distributed Generation Impacts With a Multiobjective Index
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Cited by
Optimal planning of distributed generation systems in distribution system: A review
Viral, R., & Khatod, D. K. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.05.020 · Cited by 408
Mahmud, N., & Zahedi, A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.06.030 · Cited by 377
Hung, D. Q., Mithulananthan, N., & Bansal, R. C. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.08.069 · Cited by 269
A Two-stage Approach for Renewable Hosting Capacity Assessment
Xu, X., Gunda, J., Dowling, R., & Djokic, S. (2019) · 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) · doi:10.1109/isgteurope.2019.8905598 · Cited by 11
Metadata
- Authors
- El-Zonkoly, A. M.
- Venue
- IET Generation, Transmission & Distribution
- Published
- 2011-07-05
- Volume
- 5
- Issue
- 7
- Pages
- 760-771
- ISSN
- 1751-8687 (ISSN-L)
- 1751-8695
- OpenAlex
- W2042231626
- Cited by
- 323
- References
- 13
- FWCI
- 20.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- El-Zonkoly, A. M. (2011). Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation. IET Generation, Transmission & Distribution. https://doi.org/10.1049/iet-gtd.2010.0676
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.