Enhanced Model Predictive Control-Based STATCOM Implementation for Mitigation of Unbalance in Line Voltages

Emam, Ahmed Samir; Azmy, Ahmed M.; Rashad, Essam M.

doi:10.1109/access.2020.3044982

Cited by 14 publications

(5 citation statements)

References 16 publications

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“…To ensure the stability of the cluster voltages, the authors extracted the zero-sequence voltage to analyze the active power distribution. Te use of an improved model predictive control (MPC) algorithm was suggested in [16] as a means of controlling STATCOM device performance. Te authors tried to forecast future STATCOM output current needed to manage designated bus line voltages in accordance with neighboring bus line voltage variations to reduce voltage imbalance.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models

Ghaeb,

Al-Naimi,

Alkayyali

2023

Journal of Electrical and Computer Engineering

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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%).

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models

Ghaeb,

Al-Naimi,

Alkayyali

2023

Journal of Electrical and Computer Engineering

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“…The first one corresponds to the outer loop depending on the variable to be controlled, V ac or V dc . The second one represents the inner loop based on the state-space model defined by expressions (17) and (18). Therefore, the conventional control uses a PI-controller, so that, the inner-control loop can be represented as:…”

Section: Model-based Controlmentioning

confidence: 99%

“…Similarly, in [17] the model of the system is required in order to design an adaptive controller for voltage regulation using a STATCOM. Other newer approaches, such as model predictive control (MPC), also require a detailed modeling of the system in order to work properly as can be corroborated in [18,19], where MPC is used as the control strategy for the mitigation of voltage unbalance and reactive power control. Robust control can be also categorized as a model-based technique as can be observed in [20,21], where the system-model derivation is an important step of the controller design procedure.…”

Section: Introductionmentioning

confidence: 99%

Power Grid Dynamic Performance Enhancement via STATCOM Data-Driven Control

et al. 2021

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This work proposes a data-driven approach to controlling the alternating current (AC) voltage via a static synchronous compensator (STATCOM). This device offers a fast dynamic response injecting reactive power to compensate the voltage profile, not only during load variations but also depending on the operating point established by the grid. The proposed control scheme is designed to improve the dynamic grid performance according to the defined operating point into the grid. The mathematical fundamentals of the proposed control strategy are described according to a (model-free) data-driven-based controller. The robustness of the proposed scheme is proven with several tests carried out using Matlab/Simulink software. The analysis is performed with the well-known test power system of two areas, demonstrating that the proposed controller can enhance the dynamic performance under transient scenarios. As the main strength of the present work with respect to the current state-of-the-art, we highlight the fact that no prior knowledge of the system is required for the controller implementation, that is, a model or a system representation. The synthesis of the controller is obtained in a pure numerical way from data, while it can simultaneously ensure stability in a rigorous way, by satisfying Lyapunov conditions.

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“…P ULSEWIDTH modulation (PWM) inverters are primary component in active power filters [1], [2] static compensator (STATCOM) [3], [4] renewable energy systems [5], [6], and motor drives [7], [8]. It matches the output voltage with the reference on an average basis per carrier cycle.…”

Section: Introductionmentioning

confidence: 99%

Investigated Analysis and New Zero-Sequence Harmonic Injection Pulsewidth Scheme for Overmodulation Region

et al. 2022

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Pulswidth modulation (PWM) methods were developed to grant the voltage source inverter (VSI) output signal better quality measures. The PWM method that VSI relies on must consider the utilization of the direct current (DC) source, especially when the drive system works in the overmodulation region. In this paper, different zero-sequence harmonic injection PWM methods are proposed. Two essential objectives are optimized by minimizing total harmonic distortion and maximizing the DC bus utilization. All schemes' results are compared with each other and with some of the commonly used PWM schemes. This paper concludes the usage of third, ninth, and fifteenth harmonic injections and any combination of them to reach a new PWM method that overtakes the disadvantages of other methods. Meanwhile, it provides a handy tool to operate VSI optimally. Ultimately, this work concludes to what extent is the zero-sequence injection is helpful. The work is evaluated experimentally, and the practical results match the simulation outcomes.

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Enhanced Model Predictive Control-Based STATCOM Implementation for Mitigation of Unbalance in Line Voltages

Cited by 14 publications

References 16 publications

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models

Power Grid Dynamic Performance Enhancement via STATCOM Data-Driven Control

Investigated Analysis and New Zero-Sequence Harmonic Injection Pulsewidth Scheme for Overmodulation Region

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