A nomographic tool to assess solar PV hosting capacity constrained by voltage rise in low-voltage distribution networks

Abstract Proliferation of solar photovoltaic (PV) generation in low voltage (LV) distribution networks has imposed a set of challenges in network operation and control. Voltage rise is currently the main constraint that limits solar PV capacity increase in LV networks. Together with this, there is a growing need for a generalised and versatile tool which utilities can use to deal with customer requests for new solar PV connections. This paper proposes a generalised approach to assess solar PV hosting capacity (HC) subjected to over-voltage curtailment based on a Nomogram representation, which facilitates reasonable modeling insights for HC assessment in LV networks. In addition, solar PV connection criteria are further developed using the Nomogram representation of HC evaluation. The proposed Nomogram based approach for HC assessment and connection criteria will contribute to further improvement of available guidelines on solar PV connections in LV networks.

[1]  R. A. Shayani,et al.  Photovoltaic Generation Penetration Limits in Radial Distribution Systems , 2011, IEEE Transactions on Power Systems.

[2]  Chen Li,et al.  Method to determine the maximum generation capacity of distribution generation in low-voltage distribution feeders , 2009 .

[3]  Matti Lehtonen,et al.  Review on the PV Hosting Capacity in Distribution Networks , 2020, Energies.

[4]  John E. Fletcher,et al.  Maximum PV generation estimation method for residential low voltage feeders , 2016 .

[5]  Nasrudin Abd Rahim,et al.  Progress in solar PV technology: Research and achievement , 2013 .

[6]  D Chathurangi,et al.  Connection of Solar PV to LV Networks: Considerations for Maximum Penetration Level , 2018, 2018 Australasian Universities Power Engineering Conference (AUPEC).

[7]  S. Perera,et al.  Potential power quality impacts on LV distribution networks with high penetration levels of solar PV , 2018, 2018 18th International Conference on Harmonics and Quality of Power (ICHQP).

[8]  Omar Ellabban,et al.  A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation , 2020 .

[9]  Almoataz Y. Abdelaziz,et al.  Enhancement of Hosting Capacity with Soft Open Points and Distribution System Reconfiguration: Multi-Objective Bilevel Stochastic Optimization , 2020 .

[10]  Barry Mather,et al.  A techno-economic comparison of traditional upgrades, volt-var controls, and coordinated distributed energy resource management systems for integration of distributed photovoltaic resources , 2020 .

[11]  Mohammad Rizwan,et al.  Voltage regulation mitigation techniques in distribution system with high PV penetration: A review , 2018 .

[12]  Almoataz Y. Abdelaziz,et al.  State-of-the-art of hosting capacity in modern power systems with distributed generation , 2019, Renewable Energy.

[13]  Nicholas Etherden,et al.  A review of hosting capacity quantification methods for photovoltaics in low-voltage distribution grids , 2020 .

[14]  Sarah Rönnberg,et al.  Hosting Capacity of the Power Grid for Renewable Electricity Production and New Large Consumption Equipment , 2017 .

[15]  Joydeep Mitra,et al.  PV hosting capacity of LV distribution networks using smart inverters and storage systems: a practical margin , 2020, IET Renewable Power Generation.

[16]  G. W. Chang,et al.  A stochastic approach for determining PV hosting capacity of a distribution feeder considering voltage quality constraints , 2018, 2018 18th International Conference on Harmonics and Quality of Power (ICHQP).

[17]  Seyedmostafa Hashemi,et al.  Methods and strategies for overvoltage prevention in low voltage distribution systems with PV , 2017 .

[18]  Fei Ding,et al.  On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement , 2017, IEEE Transactions on Sustainable Energy.

[19]  Joydeep Mitra,et al.  An analytical method for placement and sizing of distributed generation on distribution systems , 2014, 2014 Clemson University Power Systems Conference.

[20]  Almoataz Y. Abdelaziz,et al.  Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm , 2019, Energies.

[21]  D Chathurangi,et al.  Evaluation of Maximum Solar PV Penetration: Deterministic Approach for Over Voltage Curtailments , 2019, 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).

[22]  Matti Lehtonen,et al.  A Stochastic Assessment of PV Hosting Capacity Enhancement in Distribution Network Utilizing Voltage Support Techniques , 2019, IEEE Access.

[23]  Harold John Allcock,et al.  The nomogram : the theory and practical construction of computation charts , 1938 .

[24]  Venizelos Efthymiou,et al.  Assessing the photovoltaic (PV) hosting capacity of distribution grids , 2016 .