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| Content Provider | IET Digital Library |
|---|---|
| Author | Mojarrad, Hasan Doagou Rastegar, Hasan Gharehpetian, Gevork B. |
| Abstract | This study presents a new binary differential evolution algorithm for probabilistic AC/DC transmission expansion planning (TEP). The probabilistic model would consider the uncertainty of distant wind/solar energy resources as well as load demand. In many power systems, the necessity of considering the impacts of HVDC links on the TEP studies is inevitable. Therefore, in this study, these links are considered a substitute candidate for the conventional HVAC transmission lines. The stochastic modelling and integration of HVDC links for TEP problem have introduced new challenges to transmission system planners. To overcome these problems, an efficient fuzzy set-based optimisation technique is used to solve the multi-objective TEP problem. Finally, the proposed method is applied to the test system consisting of 24 buses. |
| Starting Page | 140 |
| Ending Page | 149 |
| Page Count | 10 |
| ISSN | 17518822 |
| Volume Number | 10 |
| e-ISSN | 17518830 |
| Issue Number | Issue 2, Mar (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-smt/10/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2015.0173 |
| Journal | IET Science, Measurement & Technology |
| Publisher Date | 2016-03-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Binary Differential Evolution Algorithm Combinatorial Mathematics Distant Wind Energy Resources Energy ReSource Fuzzy Set Theory Fuzzy Set-based Optimisation Technique HVAC Transmission Line Optimisation Optimisation Technique Probabilistic Multiobjective HVDC/AC Transmission Expansion Planning Solar Energy ReSource Stochastic Linearised SCUC Stochastic Modelling Transmission Line Transmission Line Link And Equipment Wind Power |
| Content Type | Text |
| Resource Type | Article |
| Subject | Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering |
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