The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Evolutionary programming based optimal placement of renewable distributed generators
Abstract
An evolutionary programming (EP) based technique has been presented for the optimal placement of distributed generation (DG) units energized by renewable energy resources (wind and solar) in a radial distribution system. The correlation between load and renewable resources has been nullified by dividing the study period into several segments and treating each segment independently. To handle the uncertainties associated with load and renewable resources, probabilistic techniques have been used. Two operation strategies, namely “turning off wind turbine generator” and “clipping wind turbine generator output”, have also been adopted to restrict the wind power dispatch to a specified fraction of system load for system stability consideration. To reduce the search space and thereby to minimize the computational burden, a sensitivity analysis technique has been employed which gives a set of locations suitable for DG placement. For the proposed EP based approach, an index based scheme has also been developed to generate the population ensuring the feasibility of each individual and thus considerably reducing the computational time. The developed technique has been applied to a 12.66-kV, 69-bus distribution test system. The solutions result in significant loss reduction and voltage profile improvement.
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Cites
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Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization
Atwa, Y. M., El-Saadany, E. F., Salama, M. M. A., & Seethapathy, R. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2030276 · Cited by 1,387
Analytical Approaches for Optimal Placement of Distributed Generation Sources in Power Systems
Wang, C., & Nehrir, M. H. (2004) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2004.836189 · Cited by 1,109
Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction
Hung, D. Q., & Mithulananthan, N. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2011.2112316 · Cited by 794
Koutroulis, E., Kolokotsa, D. D., Potirakis, A., & Kalaitzakis, K. C. (2005) · Solar Energy · doi:10.1016/j.solener.2005.11.002 · Cited by 759
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
Optimal Investment Planning for Distributed Generation in a Competitive Electricity Market
El-Khattam, W., Bhattacharya, K., Hegazy, Y., & Salama, M. M. A. (2004) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2004.831699 · Cited by 526
Optimal Allocation of Embedded Generation on Distribution Networks
Keane, A., & O'Malley, M. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.852115 · Cited by 478
Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy
Atwa, Y. M., & El-Saadany, E. F. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2045663 · Cited by 461
Cited by
Abdmouleh, Z., Gastli, A., Ben-Brahim, L., Haouari, M., & Al-Emadi, N. A. (2017) · Renewable Energy · doi:10.1016/j.renene.2017.05.087 · Cited by 508
Wang, Y., Ai, X., Tan, Z., Yan, L., & Liu, S. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2409121 · Cited by 288
Badran, O., Mekhilef, S., Mokhlis, H., & Dahalan, W. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.02.010 · Cited by 214
Radosavljevic, J., Arsic, N., Milovanovic, M., & Ktena, A. (2020) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2019.000259 · Cited by 122
Metadata
- Authors
- Khatod, D. K., Pant, V., & Sharma, J.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2013-05
- Volume
- 28
- Issue
- 2
- Pages
- 683-695
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2160149965
- Cited by
- 293
- References
- 24
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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