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The funding sponsors had no role in the design of the study, in the collection, analysis, or interpretation
of the data, in the writing of the manuscript, or in the decision to publish the results. This research received no
external funding. The APC was funded by the Gda ́nsk University of Technology.
The development of renewable energy, including wind farms, photovoltaic farms as well asprosumer installations, and the development of electromobility pose new challenges for networkoperators. The results of these changes are, among others, the change of network load profiles andload flows determining greater volatility of voltages. Most of the proposed solutions do not assume achange of the transformer regulator algorithm. The possibilities of improving the quality of regulation,which can be found in the literature, most often include various methods of coordination of theoperation of the transformer regulator with various devices operating in the Medium-Voltage (MV)network. This coordination can be decentralized or centralized. Unfortunately, the proposed solutionsoften require costly technical resources and/or large amounts of real-time data monitoring. The goalof the authors was to create an algorithm that extends the functionality of typical transformer controlalgorithms. The proposed solution allows for reducing the risk of voltage collapse. The performanceof the proposed algorithm was validated using multivariate computer simulations and tests with theuse of a physical model of the distribution network. The DIgSILENT PowerFactory environment wasused to develop the simulation model of the proposed algorithm. Then, tests were conducted onreal devices installed in the LINTEˆ2 Laboratory at the Gda ́nsk University of Technology, Poland.Selected test results are included in this paper. All results have shown that the proposed algorithmmakes it possible to increase the reserve of the voltage stability of the node, in which it is applied,thus mitigating the risk of a voltage collapse occurring. The proposed algorithm does not requirecomplex and costly technical solutions. Owing to its simplicity, it has a high potential for practicalapplication, as confirmed by the real-time control experiment in the laboratory.