A novel impact-assessment framework for distributed PV installations in low-voltage secondary networks

Abstract

This paper proposes an impact-assessment framework to appropriately assess the impacts of two different types of distributed solar photovoltaic (DPV) installation on a realistic distribution network. To examine the spontaneous customer-based installations, a detailed Monte Carlo-based technique is introduced. For the controlled utility-based installation, a multi-objective optimization problem for the sizing and location of DPV installation is formulated aiming to improve energy loss, voltage deviation, and voltage fluctuation, avoiding reverse power flow and voltage violation. Solar insolation study is performed using light detection and ranging (LiDAR) data to estimate the potential of the network for DPV installation. In addition, a synthetic load profile modeling is developed to create yearly electricity load profiles for all the buildings in the given distribution network. The proposed framework is applied to a local distribution network with synthetic load profiles, Geographic Information System (GIS), and realistic solar insolation. It is found that for customer-based installation, voltage violation occurs beyond 30% of DPV penetration level, demonstrating the necessity of utility-based installation scheme for higher penetration ratios. Beyond a specific threshold, the probability of reverse power flow significantly increases in customer-based installation. Therefore, to achieve higher penetration ratios without reverse power flow and other negative impacts, utility-aided installation is necessary.