Hybrid control of a multi‐area multi‐machine power system with FACTS devices using non‐linear modelling

Therattil, Jose. P.; Jose, Jenson; Praveen, R. P.; Abo‐Khalil, Ahmed G.; Alghamdi, Ali S.; Rajalekshmi, Bindu Gopakumar; Sayed, Khairy

doi:10.1049/iet-gtd.2019.1165

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…During the COVID-19 pandemic, Therattil et al [7] introduced a discrete-time nonlinear MPC method that utilizes phasor measurements and TCSC to stabilize multi-machine power systems. In 2022, Kamarposhti et al [8] investigated strategies to improve PSSs, showing a preference for ant colony optimization (ACO) compared to PSO and genetic algorithms (GA).…”

Section: Literature Reviewmentioning

confidence: 99%

“…A thorough comparison of optimization criteria and stability indices is needed to properly appreciate the effectiveness of the discrete-time MPC for HVDC control [4]. Extensive validation is needed for the nonlinear MPC [6] for transient stability under various system circumstances, whereas research on real-world application is required for the TCSC-based nonlinear MPC [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…With their ability to grasp complex data relationships, neural networks (NNs) and artificial intelligence emerge as promising tools [6]. Integrating NNs into PSSs enhances adaptability by capturing nonlinearities [7].…”

Section: Introductionmentioning

confidence: 99%

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Innovative Approach to Enhance Stability: Neural Network Control and Aquila Optimization Integration in Single Machine Infinite Bus Systems

Yogesh Kalidas Kirange,

Pragya Nema

2024

Adv. technol. innov.

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This paper highlights the need to improve the stability of single-machine infinite-bus (SMIB) systems, which is crucial for maintaining the dependability, efficiency, and safety of electrical power systems. The changing energy environment, characterized by a growing use of renewable sources and more intricate power networks, is challenging established stability measures. SMIB systems exhibit dynamic behavior, particularly during faults or unexpected load variations, requiring sophisticated real-time stabilization methods to avert power failures and provide a steady energy supply. This paper suggests a complex approach that combines power system stability analysis with a neural network controller enhanced by the Aquila optimization algorithm (AOA) to address the dynamic issues of SMIB systems. The study shows that the AOA-optimized neural network (AOA-NN) controller outperforms in avoiding disruptions and attaining speedy stabilization by exhaustively examining electrical, mechanical, and rotor dynamics. This method improves power system resilience and operational efficiency as demands and technology expand.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Innovative Approach to Enhance Stability: Neural Network Control and Aquila Optimization Integration in Single Machine Infinite Bus Systems

Yogesh Kalidas Kirange,

Pragya Nema

2024

Adv. technol. innov.

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“…The electromagnetic model of the PMSG for one of its phases is shown in Figure 3 [33]. The three-phase per phase equation that relates voltages to currents and magnetic fluxes for the PMSG is described in Equation ( 7) [35]: This expression makes it possible to obtain a model oriented in the same direction as the stator's magnetic field vector. For this, the Park transformation is applied to the phase equations.…”

Section: Mathematical Model Of Pmsgmentioning

confidence: 99%

Optimized Control for PMSG Wind Turbine Systems under Unbalanced and Distorted Grid Voltage Scenarios

Abo‐Khalil

Alobaid

2023

Sustainability

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Wind energy is one of the fastest growing energies due to its feasible cost and environment friendly nature, where there is no emission of waste or greenhouse gases emission. Wind energy systems should be connected to the electric utility to avoid the effects of the intermittent nature of these sources. One of the main problems of the utility integration of wind turbines is the unbalanced voltage of the utility grid. Many efforts have been made to remedy the effects of the unbalanced grid voltage connected with the electric utility. This research points out the need for more accurate and robust controllers, such as those mentioned in this paper. A novel combination strategy is presented in this paper to overcome the inherent imbalance in the electric utility voltages when used in combination with a permanent magnet synchronous generator (PMSG). This novel technique is designed to adapt the positive sequence of the dq-axis of the output current from the PMSG to extract the maximum power available from a wind turbine. Meanwhile, the negative sequence component is used to improve the quality of the output current from a wind turbine. A current controller is introduced in the grid side converter to compensate for the effects of the 2nd and 6th components of the output currents. Using these controllers reduces all dominant components in the output currents from wind turbines and permits a robust tracker for the maximum power available. A detailed simulation and experimental studies are introduced in this paper to show the controller operation under different operating conditions. The simulation and experimental results from the novel proposed strategy show its superiority in fully remedying the effect of unbalanced grid voltages.

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“…However, incorporation of integrated renewable energy systems in the power grid would incur several technical problems, such as power oscillations, different connection plans etc., which should be under consideration. In this regard, for reinforcing controllability and transmission capacity of power system, the use of flexible AC transmission system (FACTS) equipment is recommended, the most complete of which is UPFC [4]. On this subject, in order to stabilize the power oscillations, coordinated damping controllers are utilized for FACTS equipment, wind turbines, PVs, and also PSSs installed on synchronous generators (SGs) [5,6].…”

Section: Introductionmentioning

confidence: 99%

A UPFC‐based robust damping controller for optimal use of renewable energy sources in modern renewable integrated power systems

Bagheri

Behzadpoor

2022

IET Generation Trans & Dist

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This paper proposes coordinated design of wide‐area damping controller (WADC) in the presence of renewable energy resources in a large‐scale power system. To tackle with constant and time‐varying delays in wide‐area system, a robust criterion based on H∞ has been used for the coordinated WADC design. By using an auxiliary function in Lyapunov function, conservatism of linear inequality matrix (LMI) is reduced, such that larger delay margin and larger feasibility region is obtained in the presence of delays. The wind farms here are composed of doubly‐fed induction generator (DFIG) and squirrel‐cage induction generator (SCIG), which are connected to common bus of photovoltaic (PV) system by using unified power flow controller (UPFC). Then, the renewable energy units are integrated with 10 and 16‐machine power systems. Afterwards, by identifying oscillating modes, the coordinated design of WADC is carried out for rotor‐side‐converter (RSC) in DFIG, DC/AC converter in the PV units, shunt converter (SHC) in UPFC, and power system stabilizer (PSS). Different scenarios of power system operating conditions are considered to evaluate performance of the proposed approach. The simulations in power system analysis toolbox (PSAT) and programming in MATLAB demonstrate effectiveness of the conducted method.

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Hybrid control of a multi‐area multi‐machine power system with FACTS devices using non‐linear modelling

Cited by 10 publications

References 31 publications

Innovative Approach to Enhance Stability: Neural Network Control and Aquila Optimization Integration in Single Machine Infinite Bus Systems

Innovative Approach to Enhance Stability: Neural Network Control and Aquila Optimization Integration in Single Machine Infinite Bus Systems

Optimized Control for PMSG Wind Turbine Systems under Unbalanced and Distorted Grid Voltage Scenarios

A UPFC‐based robust damping controller for optimal use of renewable energy sources in modern renewable integrated power systems

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