Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
| dc.authorid | Younesi, Soheil/0000-0003-2170-857X | |
| dc.authorid | Ahmadi, Bahman/0000-0002-1745-2228 | |
| dc.contributor.author | Ceylan, Oğuzhan | |
| dc.contributor.author | Ahmadi, Bahman | |
| dc.contributor.author | Ceylan, Oguzhan | |
| dc.contributor.author | Ozdemir, Aydogan | |
| dc.date.accessioned | 2023-10-19T15:11:50Z | |
| dc.date.available | 2023-10-19T15:11:50Z | |
| dc.date.issued | 2021 | |
| dc.department-temp | [Younesi, Soheil; Ahmadi, Bahman; Ozdemir, Aydogan] Istanbul Tech Univ, Dept Elect Engn, Istanbul, Turkey; [Ceylan, Oguzhan] Kadir Has Univ, Management & Informat Syst Dept, Istanbul, Turkey | en_US |
| dc.description | 9th International Conference on Modern Power Systems (MPS) -- JUN 16-17, 2021 -- ELECTR NETWORK | en_US |
| dc.description.abstract | This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization. | en_US |
| dc.description.sponsorship | IEEE Romanian Sect,Tech Univ Cluj Napoca,Distributie Energie Electrica Romania SA,Transelectica SA | en_US |
| dc.description.sponsorship | The Scientific and Technological Research Council of Turkey TUBITAK [117E773] | en_US |
| dc.description.sponsorship | This research is funded as a part of 117E773 Advanced Evolutionary Computation for Smart Grid and Smart Community project under the framework of 1001 Project organized by The Scientific and Technological Research Council of Turkey TUBITAK. | en_US |
| dc.identifier.citation | 1 | |
| dc.identifier.doi | 10.1109/MPS52805.2021.9492702 | en_US |
| dc.identifier.isbn | 978-1-6654-3381-5 | |
| dc.identifier.scopus | 2-s2.0-85112220465 | en_US |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/MPS52805.2021.9492702 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/5246 | |
| dc.identifier.wos | WOS:000941563300099 | en_US |
| dc.identifier.wosquality | N/A | |
| dc.khas | 20231019-WoS | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | Proceedings of 9th International Conference on Modern Power Systems (Mps 2021) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Distribution-Systems | En_Us |
| dc.subject | Parallel Computation | en_US |
| dc.subject | Reconfiguration | En_Us |
| dc.subject | Smart grids | en_US |
| dc.subject | Distributed generators | en_US |
| dc.subject | Distribution-Systems | |
| dc.subject | Optimization | en_US |
| dc.subject | Reconfiguration | |
| dc.subject | Grey Wolf Optimization Algorithm | en_US |
| dc.title | Allocation of Distributed Generators Using Parallel Grey Wolf Optimization | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | b80c3194-906c-4e78-a54c-e3cd1effc970 | |
| relation.isAuthorOfPublication.latestForDiscovery | b80c3194-906c-4e78-a54c-e3cd1effc970 |