The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties
Abstract
Some uncertainties, such as the uncertain output power of a plug-in electric vehicle (PEV) due to its stochastic charging and discharging schedule, that of a wind generation unit due to the stochastic wind speed, and that of a solar generating source due to the stochastic illumination intensity, volatile fuel prices, and future uncertain load growth could lead to some risks in determining the optimal siting and sizing of distributed generators (DGs) in distribution system planning. Given this background, under the chance constrained programming (CCP) framework, a new method is presented to handle these uncertainties in the optimal siting and sizing of DGs. First, a mathematical model of CCP is developed with the minimization of the DGs' investment cost, operating cost, maintenance cost, network loss cost, as well as the capacity adequacy cost as the objective, security limitations as constraints, and the siting and sizing of DGs as optimization variables. Then, a Monte Carlo simulation-embedded genetic-algorithm-based approach is employed to solve the developed CCP model. Finally, the IEEE 37-node test feeder is used to verify the feasibility and effectiveness of the developed model and method, and the test results have demonstrated that the voltage profile and power-supply reliability for customers can be significantly improved and the network loss substantially reduced.
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Citations
Cites
The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
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A Multiobjective Evolutionary Algorithm for the Sizing and Siting of Distributed Generation
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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
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Optimal Allocation of Embedded Generation on Distribution Networks
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Optimal sizing and placement of distributed generation in a network system
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Rapid-Charge Electric-Vehicle Stations
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Cited by
Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M. (2016) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2404533 · Cited by 422
Yuvaraj, T., Devabalaji, K. R., Kumar, J. A., Thanikanti, S. B., & Nwulu, N. I. (2024) · IEEE Access · doi:10.1109/access.2023.3349274 · Cited by 249
Zubo, R. H. A., Mokryani, G., Rajamani, H.-S., Aghaei, J., Niknam, T., & Pillai, P. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.10.036 · Cited by 218
Neyestani, N., Damavandi, M. Y., Shafie-Khah, M., Contreras, J., & Catalao, J. P. S. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2359919 · Cited by 190
Optimal allocation for electric vehicle charging stations using trip success ratio
Alhazmi, Y. A., Mostafa, H. A., & Salama, M. M. A. (2017) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.03.009 · Cited by 126
Metadata
- Authors
- Liu, Z., Wen, F., & Ledwich, G.
- Venue
- IEEE Transactions on Power Delivery
- Published
- 2011-10
- Volume
- 26
- Issue
- 4
- Pages
- 2541-2551
- ISSN
- 0885-8977 (ISSN-L)
- 1937-4208
- OpenAlex
- W2105302512
- Cited by
- 417
- References
- 17
- FWCI
- 15.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, Z., Wen, F., & Ledwich, G. (2011). Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Uncertainties. IEEE Transactions on Power Delivery. https://doi.org/10.1109/tpwrd.2011.2165972
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