A stochastic approach for determining PV hosting capacity of a distribution feeder considering voltage quality constraints

Abstract

In this paper, a stochastic approach is applied to determine the photovoltaic (PV) hosting capacity in a distribution feeder. The hosting capacity is determined accounting for the four voltage quality criteria: overvoltage, voltage deviation, dynamic voltage drop, and voltage unbalance. By applying the stochastic approach, a large number of potential PV deployment scenarios are simulated in a benchmark distribution feeder. While considering the unpredictability of future PV deployments, both sizes and locations are regarded as randomly generated factors. Simulations for assessments of voltage quality impacts are quantified and PV hosting capacities are statistically determined. In addition, smart inverter functions are included to improve voltage quality and enhance PV hosting capacity.