Monte Carlo-Based Comprehensive Assessment of PV Hosting Capacity and Energy Storage Impact in Realistic Finnish Low-Voltage Networks

The direction taken towards sustainable power system and renewable energy generation is now irreversible. The power grid needs to host more renewable energy sources, such as solar power, and tackle power quality problems that come along with it. In this paper, firstly, the Hosting Capacities (HCs), of Photo-Voltaic (PV), were found for various regions and their limiting constraints were defined. Afterwards, comparison was made with the HC values obtained for different voltage value standards defined by various countries. Next, single-phase PV connection percentages in the network were defined that makes the voltage unbalance the limiting factor for HC. Lastly, the HC of the solar generation coupled with a Battery Energy Storage System (BESS) was assessed for the Finnish Low-Voltage (LV) grids. Different BESS-based scenarios were employed and their impact on voltage unbalance and HCs were observed. Finally, also the load voltage unbalance was incorporated to make the approach realistic and its impact on HC was analyzed. Results reveal that, depending on the connection strategy, the BESS can increase as well as decrease the HC based on voltage unbalance criteria. However, the load voltage unbalance has little effect on the solar HC values.

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

[2]  Achim Woyte,et al.  Enhancement of the Network Hosting Capacity – Clearing Space for/with PV , 2010 .

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

[4]  Santiago Grijalva,et al.  Improving distribution network PV hosting capacity via smart inverter reactive power support , 2015, 2015 IEEE Power & Energy Society General Meeting.

[5]  Yun Seng Lim,et al.  Fuzzy-driven energy storage system for mitigating voltage unbalance factor on distribution network with photovoltaic system , 2017 .

[6]  Jan Meyer,et al.  Stochastic Assessment of Voltage Unbalance Due to Single-Phase-Connected Solar Power , 2017, IEEE Transactions on Power Delivery.

[7]  Matthew Rylander,et al.  Streamlined Method for Determining Distribution System Hosting Capacity , 2015, IEEE Transactions on Industry Applications.

[8]  Arindam Ghosh,et al.  Sensitivity analysis of voltage imbalance in distribution networks with rooftop PVs , 2010, IEEE PES General Meeting.

[9]  Yun Seng Lim,et al.  Energy Storage System for Mitigating Voltage Unbalance on Low-Voltage Networks With Photovoltaic Systems , 2012, IEEE Transactions on Power Delivery.

[10]  I. Mellin,et al.  A statistical approach for hourly photovoltaic power generation modeling with generation locations without measured data , 2016 .

[11]  Petr Krejci,et al.  Undefined parameters and two-limit parameters in standard EN 50160 ED. 3 , 2015, 2015 16th International Scientific Conference on Electric Power Engineering (EPE).

[12]  Matti Lehtonen,et al.  An Analysis of Photo-Voltaic Hosting Capacity in Finnish Low Voltage Distribution Networks , 2017 .

[13]  T. Stetz,et al.  Improved Low Voltage Grid-Integration of Photovoltaic Systems in Germany , 2013, IEEE Transactions on Sustainable Energy.

[14]  L.A. Kojovic,et al.  Summary of Distributed Resources Impact on Power Delivery Systems , 2008, IEEE Transactions on Power Delivery.

[15]  Peter Gotseff,et al.  Technologies to increase PV hosting capacity in distribution feeders , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[16]  Birgitte Bak-Jensen,et al.  Determining maximum photovoltaic penetration in a distribution grid considering grid operation limits , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[17]  Yun Seng Lim,et al.  Mitigation of Voltage Unbalance in Low Voltage Distribution Network with High Level of Photovoltaic System , 2011 .