Abstract

In this paper, solar photovoltaic hosting capacity within the electrical distribution network is estimated for different buses, and the impacts of high PV penetration are evaluated using power hardware-in-loop testing methods. It is observed that the considered operational constraints (i.e. voltage and loadings) and their operational limits have a significant impact on the hosting capacity results. However, with increasing photovoltaic penetration, some of the network buses reach maximum hosting capacity, which affects the network operation (e.g. bus voltages, line loading). The results show that even distributing the maximum hosting capacity among different buses can increase the bus voltage rise to 9%. To maintain the network bus voltages within acceptable limits, reactive power voltage-based droop control is implemented in the photovoltaic conditioning devices to test the dynamics of the network operation. The results show that implementation of the droop control technique can reduce the maximum voltage rise from 9% to 4% in the considered case. This paper also presents the impact of forming a mesh type network (i.e. from radial network) on the voltage profile during PV penetration, and a comparative analysis of the operational performance of a mesh type and radial type electrical network is performed. It is observed that the cumulative effect of forming a mesh type network along with a droop control strategy can further improve the voltage profile and contribute to increase photovoltaic penetration. The results are verified using an experimental setup of digital real-time simulator and power hardware-in-loop test methods. The results from this work will be useful for estimating the appropriate photovoltaic hosting capacity within a distribution network and implementation of a droop control strategy in power conditioning devices to maintain the network operational parameters within the specified limits.HighlightsVoltage and line loading constraints’ combination can reduce PV hosting capacity by 50% as compared to only voltage as a constraint.Implementation of reactive power versus voltage droop control in PV power conditioning device can reduce voltage variation from 9% to 4%.In a PV integrated electrical energy network, line loading can be reduced by 20% if the network is configured from radial to mesh type.

Highlights

  • The market for photovoltaic (PV) power systems is increasing exponentially, at a rate of 47% per year, due to capital cost reduction and technological advancements [1]

  • The fixed QV droop characteristic curve is considered in this work, and a droop control strategy is used in the hardware PV inverter to test the dynamics of In Case C, PV is integrated at the buses B7, B8, B9 and B10 network, and the QV droop control strategy is used to analyze the system dynamics in real-time conditions

  • The PV hosting capacity was varied on selected buses of the network to maintain the network operational parameters within the prescribed limits

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Summary

Introduction

The market for photovoltaic (PV) power systems is increasing exponentially, at a rate of 47% per year, due to capital cost reduction and technological advancements [1]. The network operational parameters (e.g. bus overvoltage, line overloading, power quality) need to be critically evaluated to estimate the PV HC at different nodes of the distribution network. In Navarro and Navarro [2], the PV hosting capacity within an electrical distribution network was analyzed at different buses considering only the rated PV capacity, but PV output and simultaneous load profile at a particular node was not considered. An approach for enhancing PV HC based on a reactive power control strategy was presented by Atmaja et al [3], but it did not include load flow analysis with simultaneous penetration of PV capacity at different nodes. A probabilistic approach-based method for PV HC was presented by Niederhuemer and Schwalbe [4] considering the worst-case scenario (i.e. maximum PV and low load), but network operational parameters were not analyzed. It is essential to analyze PV HC within the distribution network at different nodes with simultaneous PV and load profiles

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