Abstract
Transformers are one of the main components of any power system. An accurate estimation of system be-haviour, including load flow studies, protection, and safe control of the system calls for an accurate equiva-lent circuit parameters of all system components such as generators, transformers, etc. This paper presents a methodology to estimate the equivalent circuit parameters of the Three Winding Transformer (TWT) using Bacterial Foraging Algorithm (BFA). The estimation procedure based on load test data at one particular op-erating point namely supply voltage, load currents, input power. The performance characteristics, such as efficiency and voltage regulation are considered along with the name plate data in order to minimize the er-ror between the estimated and measured data. The estimation procedure is demonstrated with a sample three winding transformer and the results are compared against the directly measured performance of TWT and genetic algorithm optimization results. The simulation results show the ability of the proposed technique to capture the true values of the machine parameters and the superiority of the results obtained using the bacte-rial foraging algorithm.
Highlights
Three winding transformers (TWT) are widely used in power system and power electronic applications
The problem has been formulated as an error minimization problem and the modern heuristic search technique, Bacterial Foraging Algorithm (BFA) has been applied to obtain the optimal value of equivalent circuit parameters
The calculated performance characteristics such as efficiency and voltage regulation by using these parameters differ with the values of load test which indicates that the calculated parameters are inaccurate
Summary
Three winding transformers (TWT) are widely used in power system and power electronic applications. The equivalent circuit parameters of three winding transformer are determined based on Genetic Algorithm (GA) [1] has been discussed. The method based on Genetic Algorithm (GA) has been developed for the identification of synchronous machine parameters from short circuit tests [4]. Ers is difficult to relate to its physical construction, and the measurement of the model parameters is difficult and unreliable, [11] a physically based electrical model of a high voltage multiwinding transformers has been developed In this model, each component corresponds to a physical quantity of the transformer and the leakage inductance for nonuniformly spaced windings, which store significant energy in the flux in the radial field, has been calculated. The effectiveness of the proposed BFA approach has been tested with the suitable transformer
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