A Stochastic Methodology for PV System Allocation in Power Distribution Networks

Authors

  • Gustavo M. Espinoza Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Nelson Kagan Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Luiz H. L. Rosa Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Luís F. N. Lourenço Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Renato M. Monaro Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Carlos F. M. Almeida Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Mauricio B. C. Salles Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Leandro Martins Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Ferdinando Crispino Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author
  • Juan C. Cebrian Department of Electrical Energy and Automation Engineering, Polytechnic School University of São Paulo, São Paulo – 01246-904 (Brazil);Power Systems Innovation Hub (RCGI-Innova Power) University of São Paulo, São Paulo – 05508-030 (Brazil) Author

DOI:

https://doi.org/10.52152/4554

Keywords:

Hosting Capacity, Monte Carlo simulation, stochastic method, photovoltaic systems, Power Distribution Systems, Power Losses, Voltage Profile, Charging

Abstract

The increasing penetration rate of photovoltaic generation (PV) in distribution networks has led system operators to face several challenges such as overvoltage, voltage fluctuations, frequency fluctuations, and reverse power flow. This paper introduces a stochastic approach to determine the impact of Hosting Capacity (HC) on a real distribution network in terms of voltage profiles and power losses. The methodology uses historical data of temperature and irradiance over one year, which served as inputs for the stochastic allocation of PV units. Later, PV installation points and the generation capacities are randomly assigned based on historical data. HC is evaluated across various PV penetration rate, analyzing its effects on voltage problems (undervoltage and overvoltage) and power losses. The results demonstrate the effectiveness of PV placement in mitigating voltage issues and identifying the proper HC.

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Published

2025-07-25

Issue

Vol. 23 No. 4 (2025)

Section

Articles

License

Copyright (c) 2025 Gustavo M. Espinoza, Nelson Kagan, Luiz H. L. Rosa, Luís F. N. Lourenço, Renato M. Monaro, Carlos F. M. Almeida, Mauricio B. C. Salles, Leandro Martins, Ferdinando Crispino, Juan C. Cebrian (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.