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- W3133592761 abstract "Although research has shown the benefits of solar photovoltaic (PV) systems penetrating onto distribution grids, improperly sized and placed PVs can cause extreme over-voltages, higher power losses and grid capacity violations. In some cases, high PV penetration may lead to reverse power flow conditions and disruption of existing protection schemes. This work proposes improvements to an existing multi-objective optimization genetic algorithm (IMO) technique designed for PV sizing and site locations in radial distribution systems based on power loss reduction and limiting nodal voltage deviation. The proposed mathematical model yields a solution set of PV sizes based on bus location which reduces the instances of voltage profile constraint violations across all branches of the system while improving power losses at each nodal location. This is an improvement over previous works which were only applicable to single radial feeders without any branches. Finally, this approach allows for optimization of multiple PV distributed generation to be used to compensate losses and improve the overall voltage profile on any branch of the radial system, with room for future expansion." @default.
- W3133592761 created "2021-03-15" @default.
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- W3133592761 date "2020-11-01" @default.
- W3133592761 modified "2023-09-25" @default.
- W3133592761 title "Multi-Solar PV Allocation for Optimal Sizing and Placement on Distribution Feeders" @default.
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- W3133592761 doi "https://doi.org/10.1109/sges51519.2020.00173" @default.
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