Cuckoo Search Algorithm for Optimal Siting and Sizing of Multiple Distributed Generators in Distribution Grids

dc.authorid ozdemir, aydogan/0000-0003-1331-2647
dc.authorid Ahmadi, Bahman/0000-0002-1745-2228
dc.authorwosid ozdemir, aydogan/A-2223-2016
dc.authorwosid Ahmadi, Bahman/GSD-7380-2022
dc.contributor.author Ahmadi, Bahman
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Ceylan, Oguzhan
dc.contributor.author Ozdemir, Aydogan
dc.contributor.other Management Information Systems
dc.date.accessioned 2023-10-19T15:11:52Z
dc.date.available 2023-10-19T15:11:52Z
dc.date.issued 2019
dc.department-temp [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 Modern Electric Power Systems (MEPS) International Conference -- SEP 09-12, 2019 -- Wroclaw, POLAND en_US
dc.description.abstract Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more important due to their economic and environmental impacts. This paper presents optimal siting and sizing of the Photovoltaics (PVs) and Wind Turbines (WTs) to improve the voltage magnitude profiles. This planning problem is formulated using DER generation and load profiles of the three representative days, one for each season. The resulting constrained optimization problem is solved using Cuckoo Search Algorithm (CSA). The proposed solution approach is applied to the 33 bus and 69 bus radial distribution networks. Several simulations are performed for the performance analysis of the methods and the results are compared to several available ones. en_US
dc.description.sponsorship Wroclaw Univ Sci & Technol, Fac Elect Engn,Assoc Polish Elect Engineers, Wroclaw Div,IEEE en_US
dc.description.sponsorship 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.citationcount 4
dc.identifier.doi 10.1109/MEPS46793.2019.9395018 en_US
dc.identifier.isbn 978-1-7281-1641-9
dc.identifier.scopus 2-s2.0-85095605220 en_US
dc.identifier.uri https://doi.org/10.1109/MEPS46793.2019.9395018
dc.identifier.uri https://hdl.handle.net/20.500.12469/5256
dc.identifier.wos WOS:000668711600031 en_US
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2019 Modern Electric Power Systems (Meps) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 4
dc.subject Distribution Networks
dc.subject Distribution-Systems
dc.subject Distribution Networks En_Us
dc.subject Optimal Placement
dc.subject Distribution-Systems En_Us
dc.subject Smart Grids en_US
dc.subject Optimal Placement En_Us
dc.subject distributed energy resources en_US
dc.subject Allocation
dc.subject Cuckoo Search Algorithm (CSA) en_US
dc.subject Allocation En_Us
dc.subject constrained optimization en_US
dc.title Cuckoo Search Algorithm for Optimal Siting and Sizing of Multiple Distributed Generators in Distribution Grids en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 4
dspace.entity.type Publication
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