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A time‐varying load‐based analytical approach for DG optimization in the distribution network

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dc.contributor.author NA Iqteit, A Basa Arsoy, B Çakir
dc.date.accessioned 2021-05-09T08:06:57Z
dc.date.accessioned 2022-05-22T08:54:18Z
dc.date.available 2021-05-09T08:06:57Z
dc.date.available 2022-05-22T08:54:18Z
dc.date.issued 2019-04
dc.identifier.other https://doi.org/10.1002/etep.2783
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8255
dc.description.abstract This paper presents a novel analytical approach to estimate the optimal generation profiles/size and location of a distributed generation (DG) unit that can be integrated into distribution network to attain the lowest level of active loss. This approach considered the impact of significant parameters including daily load profiles, best power limits of a DG unit, and varying injected power profiles of the substation on results of minimum active loss of the distribution network and optimal calculations of DG. Additionally, the DG placement was speedily identified in this approach by using a new active loss expression along with four different scenarios. These scenarios considered a number of assumptions on the load profiles and on the state variables (voltage and angle). The obtained optimal active generation profile was also used to manage the uncertainty in the energy of the wind and photovoltaic distribution generators for achieving the highest loss reduction. Additionally, the exhaustive load flow method was used to check the validity of the analytical approach by using 13‐bus and 69‐bus distribution networks. The results obtained suggest the effectiveness of this approach in estimating the optimal location and profile/size of DG. en_US
dc.language.iso en en_US
dc.publisher Int Trans Electr Energ Syst/ Wiley en_US
dc.subject distributed generation, energy management, loss reduction, optimal location, optimal profile en_US
dc.title A time‐varying load‐based analytical approach for DG optimization in the distribution network en_US
dc.type Article en_US

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