
Sara Stamatović
ABSTRACT: Analysis of the Maximum Capacity of Solar Power Plants that Can Be Connected to the Load Area of a Distribution Transformer Considering Its Thermal Characteristics
The increasing integration of renewable energy sources into distribution power networks, particularly solar power plants, leads to significant changes in power flows within the system. Increasing the installed capacity of solar power plants in the distribution power system may lead to the occurrence of reverse power flow through the transformer, which can result in higher loading than in the case when only consumer demand was supplied. Considering that solar power plants produce the highest amount of energy during the summer period, when ambient temperatures are also at their highest, such an operating regime can significantly affect the thermal loading of the transformer and consequently accelerate its aging. The objective of this paper is to estimate the maximum capacity of solar power plants that can be safely connected within the supply area of a distribution transformer while preserving its lifetime and respecting technical operating limits. The thermal model of the transformer was developed in accordance with relevant IEC standards that define thermal limits, winding temperatures, and insulation aging criteria. The application of Dynamic Thermal Rating (DTR) enables a realistic and time-dependent estimation of the maximum transformer loading depending on variable operating and ambient conditions, including time series of transformer loading, ambient temperature, and solar irradiation intensity. In contrast to the conventional static approach for determining permissible loading, which is based on conservative assumptions and constant environmental conditions, the dynamic approach enables a more accurate representation of the real operating conditions of the transformer over time. In addition to the basic thermal loading, the analysis also includes additional factors that contribute to an increase in the overall heating of the transformer. Particular attention is given to the impact of voltage variations caused by the connection of solar power plants, which lead to changes in Joule losses in the windings and magnetic losses in the transformer core. Furthermore, the influence of solar irradiation on the heating of the external surface of the transformer tank is considered, which additionally increases the temperatures of the oil and windings. These effects significantly contribute to the overall thermal loading and must be included in the calculations in order to ensure a realistic assessment of the permissible loading of the transformer. Based on the developed thermal model, an algorithm was formulated to enable an integrated assessment of the maximum permissible capacity of solar power plants within the supply area of the transformer, taking into account actual operating conditions, additional thermal loading, and voltage-related effects, as well as the application of standardized aging criteria defined by IEC standards. The proposed approach enables a more detailed analysis of the impact of solar power plants on the operation of distribution transformers and provides a reliable basis for determining the connection limits of new generation capacities. The application of the proposed algorithm provides a reliable and comprehensive framework for planning the integration of solar capacities into the distribution network while preserving the lifetime of the transformer and respecting the technical operating constraints of the power system.
Keywords: Transformer thermal model, DTR, Solar power plants, Voltage variations
ABSTRACT: Distribution network hosting capacity for connecting distributed energy resources (DER) in the Belgrade consumption area
The hosting capacity analysis enables the assessment of the feasibility of adding distributed energy resources (DER) and connecting them to different busbars in the network without violating the technical operating limits of the system. The results of the analysis allow network operators to identify critical points in the network (“bottlenecks”), evaluate the need for network reinforcement, and plan the optimal integration of new energy sources. The energy transition and the push for green energy imply an increasing share of renewable energy sources in electricity generation. However, connecting a new power plant to the system can cause reverse power flows in the network, exceedances of permissible voltage limits as defined by the Distribution Grid Code, overloading of the elements in the system, or degradation of power quality due to power electronic devices through which these sources are typically connected to the grid. In addition, planning production from renewable energy sources is a challenging task due to the intermittency of their output, which is directly influenced by natural conditions (cloud coverage, irradiation, ambient temperature, etc.). Precisely because of the stochastic nature of DER, for a relevant assessment of hosting capacity, as well as identifying locations in the system where congestion may occur, it is important to consider not only two operational scenarios (minimum and maximum) and fixed DER generation, but also the temporal correlation between solar generation on one side and consumer load on the other. Such analysis over time series also allows for a better understanding of potential operational constraints that need to be imposed on DER to ensure safe and reliable system operation. For these reasons, the hosting capacity calculation was performed using an hourly time series for a characteristic day, based on a 35/10 kV/kV distribution substation in Belgrade. The potential solar power generation was estimated based on the substation’s geographical location and meteorological insolation data. The network capacity analysis for integrating renewables was carried out through an iterative process, adding new MW of installed capacity to the nodes of the analyzed 35/10 kV/kV consumption area without proposing additional network infrastructure reinforcement or violating system technical limits. During the analysis, voltage and thermal limits of relevant network elements were respected, as well as the permissible voltage variation at the connection point, in accordance with the Distribution Grid Code. The results are presented in tabular form and graphically as heat map diagrams.
Keywords: hosting capacity, DER, simulation model, time-series
Biography of the presenter
Sara Stamatović, M.Sc. in Electrical Engineering, enrolled at the Faculty of Electrical Engineering, University of Belgrade in 2016 in the Power Engineering program, and completed her master’s studies in 2021 in the Renewable Energy Sources program. She defended her master’s thesis titled “Extraterrestrial Photovoltaic Systems” in 2023. In addition to electrical engineering, she also enrolled in master’s studies at the Faculty of Mathematics, University of Belgrade in the Astrophysics program. Since 2023, she has been employed as an associate at the Nikola Tesla Institute, where she works in the Center for Power Systems. Her work focuses on modeling elements of power systems using internationally recognized software such as DIgSILENT PowerFactory. She participates in regional and international projects related to power system analysis, power quality, static, quasi-dynamic and dynamic analyses, grid connection studies, etc. Together with a team of researchers from the Astronomical Observatory of Belgrade, she co-authored a paper related to the first Serbian CubeSat satellite, Mosaic CubeSat. The Scientific Council of the Astronomical Observatory elected her to the position of Professional Associate. As part of the research team at the Nikola Tesla Institute, she also participated in the Proof of Concept program of the Science Fund of the Republic of Serbia.

