Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm

Mihailo Micev,Nguyen Vu Quynh,Martin Calasan,Ziad M Ali,Dragan S Petrovic,Shady H E Abdel Aleem

doi:10.1109/access.2020.3037510

Abstract

This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electrotechnical Commission (IEC) standards, which rely on the armature current oscillogram, the method proposed in this article uses the field current waveform during the short-circuit test. Moreover, the standard graphical method for extraction of the generator parameters is replaced by an effective metaheuristic algorithm. The proposed algorithm tends to minimize the normalized sum of squared errors (NSSE) between simulation and experimental results. The applicability and accuracy of the proposed optimization technique are verified using experimentally obtained results from a 100-MVA synchronous generator at the Bajina Basta hydropower plant.

Highlights

Among the many different types of electric generators found in power systems, including synchronous generators, double-fed induction generators, permanent magnet generators, switched reluctance generators, and so on, the first type is the most widely used in electric power plants
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By observing the results presented in the previous table, it can be noted that the best match with the experimental results, measured by the value of the normalized sum of squared errors (NSSE), is provided by the parameters estimated by the proposed adaptive black widow optimizer (ABWO) algorithm

Summary

INTRODUCTION

Among the many different types of electric generators found in power systems, including synchronous generators, double-fed induction generators, permanent magnet generators, switched reluctance generators, and so on, the first type is the most widely used in electric power plants. Many authors have developed parameter estimation methods based on phasor measurement unit (PMU) data [10]–[16], in which PMUs provide the data about voltage magnitude and phase, rotor position, angular speed, stator current, and electrical power at the generator bus These data are essential for applying the extraction methods presented in [10]–[16]. A novel metaheuristic algorithm is proposed as a tool for extracting the synchronous generator parameters from the field current waveform (based on measuring field current during a short circuit). A novel method for determining synchronous generator parameters based on measuring the field current during the short circuit is presented.

SYNCHRONOUS GENERATOR MODEL AND FIELD CURRENT WAVEFORM

ADAPTIVE BLACK WIDOW OPTIMIZATION

SIMULATION RESULTS

COMPARISON OF RESULTS OBTAINED WITH DIFFERENT ALGORITHMS

CONCLUSION