Article

High performance reactive control for unbalanced three‐phase load

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Abstract

In this paper we consider the problem of balancing a three-phase load and how to optimize the TCR operation. For an unbalanced load change a VAT technique is developed by the authors to determine the three compensating susceptance values and then the unsymmetrical firing angles of TCR, which are necessary for a balanced load operation. An objective function (THD) is determined to measure the discontinuity of the TCR operation. For an unbalanced load change, the availability of TSC and the control of TCR produce different values of reactive volt–amperes, in which all produce the balanced operation but with different amounts of harmonics. The paper introduces and develops an iterative algorithm to obtain the optimum firing angle values of TCR, and this is based on minimum generation of harmonics. The results show that a modulated THD is achieved, and this approach guarantees the high performance reactive control for unbalanced three-phase load. Copyright © 2009 John Wiley & Sons, Ltd.

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... Te authors in [19] have proposed an algorithm for voltage unbalance detection based on Clark transformation, which converts the three-phase voltages into complex zplane. Te static volt-ampere-reactor compensative (SVC) has the ability to balance the loads and stabilize the electrical power system [20][21][22]. Te authors in [23] used the SVC to balance the load voltages and improve the power factor. ...
Article
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In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-controlled-reactor (TCR) compensator according to the smallest fitness value required for voltage balancing. The optimum firing angles are then used to train the GPR and SVM regression models. The GPR and SVM models are finally used as a real-time controller to retrieve the voltage balance in online mode. A simulation model and experimental setup of the electrical power system are built. The modeled system consists of a 500 km long transmission line. The line is divided into three-pi sections to guarantee a real system response. Several simulation and practical case studies have been conducted to test and validate the capability of the proposed integrated approach in solving the voltage unbalance problem. The results have revealed the supreme ability of the proposed integrated approach to restore the voltage balance quickly (within 20 ms) and for a wide range of voltage unbalance factors (VUFs) (3.90–8.42%).
... Employing the static volt-ampere-reactor compensation (SVC) in the electric power system provides many advantages such as voltage regulation and load balancing, and also enhances the system stability [22]- [24]. To balance three-phase load currents, the SVC needs to absorb a particular amount of positive or negative reactive power to produce zero resultant reactive power at the SVC load common point [25]. ...
Article
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In this paper, the problem of voltage unbalance in the three-phase power systems is examined. A fast detection technique (FDT) is proposed to detect the voltage unbalance precisely and speedily. The well-known detection methods require more than one cycle time to detect the unbalanced voltages, whereas the proposed technique detects the unbalanced situations speedily in a discrete manner. Reducing the time duration required to detect the unbalanced voltages will enhance the dynamic response of the control system used to balance these voltages. The FDT acquires the instantaneous values of the three load voltages, calculates the sum and the space vector for these voltages at each sample, and utilizes these parameters to detect the voltage unbalance accurately within a quarter of the cycle time. A proof-of-concept simulation model for a real power system has been built. The parameters of the aqaba-qatrana-south amman (AQSA) Jordanian power system are considered in the simulation model. Also, several test cases have been conducted to test and validate the capabilities of the proposed technique.
... To ensure a stable operation of the electrical power system and conforming to the allowable voltage deviation standards, an external control on reactive power flow is required, based on Static VAR Compensation (SVC) [7][8][9]. A dynamic voltage restorer technique was used in [10] to compensate the voltage variations due to electrical load changes. ...
Conference Paper
In this work, a Particle Swarm Optimization (PSO) technique is proposed to determine the optimal firing angles of the Thyristor-Controlled Reactor (TCR) to regulate the voltage of the electrical power system. A 500 km-length electrical power system is considered. The transmission line is modeled by three pi-section networks each represents a distance of 500/3 km. The mathematical model of the electrical power system is derived and used by the PSO algorithm to find the required TCR firing angles for voltage regulation. Different test cases have been conducted to assess and validate the proposed PSO technique capabilities. The results have revealed the ability of the proposed PSO technique to regulate the load voltage efficiently to average load voltage change equals 0.271%.
... Another, technique that provides a satisfactory performance in load balancing is the employment of static Volt-Ampere Reactive (VAR) compensators and Static Synchronous Compensators (STATCOM) which are widely used for unbalance mitigation [13]- [15]. Enhancement of Static-VAR Compensator (SVC) performance based on minimizing harmonics generated by the compensator was discussed in [16]. It is proposed to reduce the Third Harmonic Distortion (THD) by introducing a new technique called Iterative Volt Ampere Technique (IVAT). ...
... Many research efforts have been directed toward estimating, detecting and correcting the voltage unbalance conditions [12,13]. The authors in [14] assigned the location of individual lines causing voltage unbalance by determining the line coupling impedance between the positive and negative sequence networks. ...
Chapter
A three-phase unbalance compensation system based on magnetic control transformer is proposed, changes the three-phase system from unbalance to balance. Firstly, the working principle of the magnetic control transformer and the balance compensation principle based on the magnetic control transformer are analyzed. Secondly, the situation of three-phase unbalanced load is analyzed. The three-phase unbalanced system at the low voltage side becomes balanced at the grid side, and the power factor of the system is compensated to 1. Finally, a three-phase unbalance simulation model was built in Matlab, the simulation results show that the combination of the magnetic control transformer and the fixed capacitor bank can effectively eliminate the negative sequence current, compensate the reactive power of the system, improve the power factor, and balance the three-phase current.KeywordsMagnetic control transformerThree-phase imbalanceNegative-sequence current
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Chapter
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In this paper, the steady-state operating performances of single-phase squirrel-cage self-excited induction generator (SEIG) are evaluated by using the per-unit frequency in addition to a simple steady-state analysis based on the per-unit slip frequency. The single-phase SEIG operating performances, estimated by the per-unit slip frequency steady-state analysis at the prime move speed and the inductive load power variations, are discussed with those obtained by using the per-unit frequency. The results provide close agreements with a simple analysis and an efficient computation processing procedures. Moreover, the single-phase static VAr compensator (SVC) composed of the thyristor controlled reactor, the thyristor switched capacitor and the fixed excitation capacitor is applied to regulate smoothly the generated output voltage of the stand-alone single-phase induction generator with a variable inductive load. The fixed gain PI controller is employed to adjust the equivalent capacitance of the single-phase SVC. The experimental and simulation results are illustrated the practical effectiveness of the additional SVC with the PI controller-based feedback loop to regulate smoothly the output voltage of the single-phase SEIG.
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The RMS value of the unbalanced and reactive currents in three-phase unbalanced power systems can be reduced with a balancing compensator that has an adaptive property. Circuits that provide a controllable susceptance are the main components of these compensators. They can be built from thyristors, switched inductors and reactive elements. The susceptance of such circuits is referred to as `thyristor controlled susceptance' (TCS) in the paper. The harmonic currents generated by switched thyristors and injected into the supply cause a waveform distortion, however. They have to be often operated, moreover, at distorted supply voltage, and a resonance with the system inductance may occur for harmonic frequencies. As a consequence, the load balancing and power factor improvement are obtained at the expense of an increase in waveform distortion. This distortion can be reduced if the structure of the circuit that provides the TCS is properly selected. In this paper, various circuits that can provide the TCS are analysed and compared with respect to generated harmonic currents and frequency properties
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Static VAr compensators with thyristor-controlled reactors generate harmonics. Due to the voltage regulation characteristics of the compensator, the generated harmonics depend on unknown thyristor firing angles and the network load flow conditions. The inclusion of load flow dependent firing angle determination in the author's computer-based multiphase harmonic load flow (MHLF) technique (see ibid., vol.6, no.1, p.174-82, 1991) is described. It uses a novel conduction angle adjustment scheme. This general and simple scheme can easily be used for the analysis of other nonlinear elements with control characteristics. Various case studies are presented to demonstrate the performance and application of the technique. Field test comparisons are included
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