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Multi modular converter (MMC) based DC to AC converters are widely used to interface large rating renewable energy power plants to electric grid. The performance of these converters depends on the pulse width modulation (PWM) algorithm used. This paper proposes an improved space vector PWM (SVPWM) algorithm for MMC which ensures voltage balance across each sub module and also results in low circulating...
Detection of stator faults in their early stage is of great importance since they propagate rapidly and may cause further damage to the motor. Some variations in induction motors such as torque load anomalies must be considered in order to reliably detect stator faults. This paper presents robust artificial intelligence (AI) techniques for interturn short circuit (ITSC) fault detection of stator in...
Historical precedence has largely determined the structure and organization of our current power infrastructure. Consumers are forced to purchase power in the form of alternating current (AC) without acknowledging current power needs. The advent of semiconductor devices and the shift towards renewable energy generation has shifted power requirements towards direct current (DC). Power conversion is...
Detection of stator faults in their early stage is of great importance since they propagate rapidly and may cause further damage to the motor. Some variations in induction motors such as torque load anomalies must be considered in order to reliably detect stator faults. This paper presents robust artificial intelligence (AI) techniques for interturn short circuit (ITSC) fault detection of stator in...
The detection of faults in induction motors is becoming increasingly important. The main difficulty in this task is the lack of an accurate analytical model to describe a faulty motor. A fuzzy logic approach may help to diagnose induction motor faults. This work presents a reliable method for the detection of stator winding faults based on monitoring the line current amplitudes. In this method, fuzzy...
This paper describes an alternate method for performing current measurement for protection of generators and motors, particularly in the oil and gas industry. This technique involves the use of Hall Effect sensors instead of the current transformer (CT) to measure and detect fault current and different wireless communication methods to send and receive the fault signal. The paper first analyzes and...
Monitoring performance of nonlinear system is an important task for many real world applications especially for industrial environments; however its realization is usually difficult. Many monitoring performance methods have been introduced but they all rely on loops with accurate linear models of the system. The methods that are capable to identify MIMO nonlinear systems are scarce and linear models...
It is important for a modern power grid to be smarter in order to provide reliable and sustainable supply of electricity. Traditional way of receiving data from the wired system is a very old and outdated technology. For a quicker and better response from the electric system, it is important to look at wireless systems as a feasible option. In this paper, wireless network based architecture has been...
Nonlinear loads such as variable speed drives constitute bulk of the load on power systems in oil and gas industry. These nonlinear loads are main sources of harmonics and responsible for most of the power quality problems. The passive filters have definite advantage over active filters in terms of components count, cost and reliability. Reliability and maintenance is a serious issue in drilling rigs...
The Power systems in oil rigs are isolated, standalone systems. The source impedance is low. Bulk of the load is fluctuating nonlinear one and are powered directly from the generators without any series impedance. This paper investigates the harmonic problems, and presents the design of passive and active filter for oil rig power systems. The performance of the system with passive and active filters...
This paper presents a model-based fault detection approach for induction motors. A new filtering technique using Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF) is utilized as a state estimation tool for on-line detection of broken bars in induction motors based on rotor parameter value estimation from stator current and voltage processing. The hypothesis on which the detection is based...
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