Probabilistic Approach To Assess and Minimize the Voltage Violation Risk in Active Distribution Networks
| dc.contributor.author | Kenari, Meghdad Tourandaz | |
| dc.contributor.author | Ozdemir, Aydogan | |
| dc.contributor.author | Heidari, Alireza | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2024-10-15T19:42:48Z | |
| dc.date.available | 2024-10-15T19:42:48Z | |
| dc.date.issued | 2024 | |
| dc.description | 100% Pure New Zealand; AUT; Centre for Future Power and Energy Research; et al.; IEEE New Zealand North Section; New Zealand Tourism | en_US |
| dc.description.abstract | The increasing trend in using renewable energy resources in distribution systems has encouraged system operators to find the best methods to decrease the growing uncertainty's impact on system operation. A probabilistic approach based on the combination of Monte Carlo simulation and Particle Swarm Algorithm is proposed in this paper to reduce the risk of voltage magnitude violations. Also, a novel criterion is used to assess the risk of voltage magnitude violations in distribution system operation. This index is based on providing voltage samples using a probabilistic approach. Therefore, enhancing the confidence level of voltage risk is considered an objective function in finding the optimum location of energy storage systems. The proposed approach is applied to the IEEE 33-bus test system, and the results show that two ESS units installed at appropriate locations can solve all the voltage magnitude violation problems. | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey, TUBITAK [1059B212200475] | en_US |
| dc.description.sponsorship | This research is funded as a part of 1059B212200475 Probabilistic assessment for a comprehensive design of Forthcoming Turkish Distribution Network Integrating Electric Vehicles, Energy Storage Systems, and Renewable Generation of 2221 Project organized by The Scientific and Technological Research Council of Turkey, TUBITAK. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1109/PMAPS61648.2024.10667064 | |
| dc.identifier.isbn | 9798350372793 | |
| dc.identifier.isbn | 9798350372786 | |
| dc.identifier.issn | 2642-6730 | |
| dc.identifier.issn | 2642-6757 | |
| dc.identifier.scopus | 2-s2.0-85204803784 | |
| dc.identifier.uri | https://doi.org/10.1109/PMAPS61648.2024.10667064 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) -- JUN 24-26, 2024 -- Auckland Univ Technol, Auckland, NEW ZEALAND | en_US |
| dc.relation.ispartofseries | International Conference on Probabilistic Methods Applied to Power Systems | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Active Distribution System | en_US |
| dc.subject | Probabilistic Approach | en_US |
| dc.subject | Energy Storage System | en_US |
| dc.subject | Voltage Violation Risk | en_US |
| dc.subject | Monte Carlo Simulations | en_US |
| dc.subject | Particle Swarm Optimization | en_US |
| dc.title | Probabilistic Approach To Assess and Minimize the Voltage Violation Risk in Active Distribution Networks | en_US |
| dc.type | Conference Object | en_US |
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| gdc.author.wosid | Tourandaz Kenari, Meghdad/AFL-0885-2022 | |
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| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | [Kenari, Meghdad Tourandaz] Istanbul Tech Univ, Fac Elect & Elect Engn, Istanbul, Turkiye; [Ozdemir, Aydogan] Kadir Has Univ, Dept Elect & Elect Engn, Istanbul, Turkiye; [Heidari, Alireza] Australian Energy Market Operator, Sydney, NSW, Australia | en_US |
| gdc.description.endpage | 202 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 198 | en_US |
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