Power Loss Minimization for Transformers Connected in Parallel with Taps Based on Power Chargeability Balance

Álvaro Jaramillo-Duque, Nicolás Muñoz-Galeano, José R. Ortiz-Castrillón, Jesús M. López-Lezama and Ricardo Albarracín-Sánchez
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Álvaro Jaramillo-Duque: Research Group in Efficient Energy Management (GIMEL), Universidad de Antioquia, Calle 67 No. 53-108, 050010 Medellín, Colombia
Nicolás Muñoz-Galeano: Research Group in Efficient Energy Management (GIMEL), Universidad de Antioquia, Calle 67 No. 53-108, 050010 Medellín, Colombia
José R. Ortiz-Castrillón: Research Group in Efficient Energy Management (GIMEL), Universidad de Antioquia, Calle 67 No. 53-108, 050010 Medellín, Colombia
Jesús M. López-Lezama: Research Group in Efficient Energy Management (GIMEL), Universidad de Antioquia, Calle 67 No. 53-108, 050010 Medellín, Colombia
Ricardo Albarracín-Sánchez: Departamento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain

Energies, 2018, vol. 11, issue 2, 1-12

Abstract: In this paper, a model and solution approach for minimizing internal power losses in Transformers Connected in Parallel (TCP) with tap-changers is proposed. The model is based on power chargeability balance and seeks to keep the load voltage within an admissible range. For achieving this, tap positions are adjusted in such a way that all TCP are set in similar/same power chargeability. The main contribution of this paper is the inclusion of several construction features (rated voltage, rated power, voltage ratio, short-circuit impedance and tap steps) in the minimization of power losses in TCP that are not included in previous works. A Genetic Algorithm (GA) is used for solving the proposed model that is a system of nonlinear equations with discrete decision variables. The GA scans different sets for tap positions with the aim of balancing the power supplied by each transformer to the load. For this purpose, a fitness function is used for minimizing two conditions: The first condition consists on the mismatching between power chargeability for each transformer and a desired chargeability; and the second condition is the mismatching between the nominal load voltage and the load voltage obtained by changing the tap positions. The proposed method is generalized for any given number of TCP and was implemented for three TCP, demonstrating that the power losses are minimized and the load voltage remains within an admissible range.

Keywords: transformers connected in parallel (TCP); tap-changers; power chargeability; power loss minimization; genetic algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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