Multi-Objective Distributed Energy Resource Integration in Radial Distribution Networks

dc.authorid ozdemir, aydogan/0000-0003-1331-2647
dc.authorid Younesi, Soheil/0000-0003-2170-857X
dc.authorid Ahmadi, Bahman/0000-0002-1745-2228
dc.authorwosid Ahmadi, Bahman/GSD-7380-2022
dc.authorwosid ozdemir, aydogan/A-2223-2016
dc.contributor.author Ahmadi, Bahman
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Younesi, Soheil
dc.contributor.author Ceylan, Oguzhan
dc.contributor.author Ozdemir, Aydogan
dc.contributor.other Management Information Systems
dc.date.accessioned 2023-10-19T15:11:50Z
dc.date.available 2023-10-19T15:11:50Z
dc.date.issued 2021
dc.department-temp [Ahmadi, Bahman; Younesi, Soheil; 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 56th International Universities Power Engineering Conference (UPEC) - Powering Net Zero Emissions -- AUG 31-SEP 03, 2021 -- Teesside Univ, ELECTR NETWORK en_US
dc.description.abstract Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of distributed generations (DGs) and energy storage systems (ESSs). This paper aims to integrate multi-type DG units and ESSs into the radial DNs to improve network reliability, decrease the losses, and maintain the voltage profiles. System Average Interruption Frequency Index (SAIFI) and Average Energy Not Supplied (AENS) are used as representative reliability indices. Objective functions are formulated and solved by using the slime mould algorithm (SMA). The proposed model's performance is tested on a balanced 33-bus system using the MATLAB environment. Then, the best solution is selected and compared with the base case values. Finally, SMA based solution is compared to those of genetic algorithm and particle swarm algorithm to validate the SMA's performance for finding the near-global solution. en_US
dc.description.sponsorship IEEE,IEEE United Kingdom & Ireland Sect,IEEE Power & Energy Soc,Inst Engn & Technol,Lucas Nulle,MDPI, Elect Journal,MDPI, Energies Journal en_US
dc.description.sponsorship 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 TUBITAK. en_US
dc.identifier.citationcount 2
dc.identifier.doi 10.1109/UPEC50034.2021.9548208 en_US
dc.identifier.isbn 978-1-6654-4389-0
dc.identifier.scopus 2-s2.0-85116687171 en_US
dc.identifier.uri https://doi.org/10.1109/UPEC50034.2021.9548208
dc.identifier.uri https://hdl.handle.net/20.500.12469/5242
dc.identifier.wos WOS:000723608400058 en_US
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2021 56th International Universities Power Engineering Conference (Upec 2021): Powering Net Zero Emissions 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 1
dc.subject Distribution-Systems
dc.subject Reliability Improvement
dc.subject Loss Reduction
dc.subject Distribution-Systems En_Us
dc.subject Reconfiguration
dc.subject Reliability Improvement En_Us
dc.subject Reanalysis
dc.subject Loss Reduction En_Us
dc.subject Reconfiguration En_Us
dc.subject Algorithm
dc.subject Reanalysis En_Us
dc.subject Storage
dc.subject Algorithm En_Us
dc.subject Distributed generation (DG) en_US
dc.subject distribution networks (DNs) en_US
dc.subject Storage En_Us
dc.subject System Average Interruption Frequency Index (SAIFI) en_US
dc.subject Model
dc.subject Average Energy Not Supplied (AENS) en_US
dc.subject Model En_Us
dc.subject Slime mould algorithm (SMA) en_US
dc.title Multi-Objective Distributed Energy Resource Integration in Radial Distribution Networks en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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