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- W2906612499 abstract "This paper first studies the estimated distributed PV hosting capacities of seventeen utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and photovoltaic system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated." @default.
- W2906612499 created "2019-01-01" @default.
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- W2906612499 date "2018-08-01" @default.
- W2906612499 modified "2023-09-26" @default.
- W2906612499 title "On Distributed PV Hosting Capacity Estimation, Sensitivity Study and Improvement" @default.
- W2906612499 doi "https://doi.org/10.1109/pesgm.2018.8585839" @default.
- W2906612499 hasPublicationYear "2018" @default.
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