Robust distributed control of reactive power in a hybrid wind‐diesel power system with STATCOM

Raouf, Beheshteh; Akbarimajd, Adel; Dejamkhooy, Abdolmajid; SeyedShenava, SeyedJalal

doi:10.1002/etep.2780

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…In this method, variations of the system parameters are considered during the design of PI or PID controllers [21]. Kharitonov's theorem has been used to study different problems in power systems such as the reactive power control [22] and load frequency control [23], [24]. However, these studies do not consider robustness of the system against an attack to the power system.…”

Section: Beheshteh Raouf and Seyedamirabbas Mousavianmentioning

confidence: 99%

A Robust Controller Design based on Kharitonov’s Theorem for Frequency Control in an Interconnected Power System

Raouf

Mousavian

2023

EJECE

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The load frequency control of power systems is often carried out using methods that are dependent on the system load and parameters. Therefore, the controller design is not robust in unforeseen cases such an attack on the power system, variations in system parameters, or changes in load. In such methods, there is a need for an attack detection tool, and moreover, the controller parameters need to be adjusted as the load and power system parameters change. In this paper, Kharitonov's theorem was applied to design a robust decentralized load frequency control for a two-area power system in the presence of electric vehicle fleets as a power source that were targeted by a cyberattack. Furthermore, the robustness of the system against system nonlinearities was demonstrated by testing the efficacy of the controller on both linear and nonlinear systems. The controller design was robust such that there was no need to change the gains of the controller even during an attack. This was compared with the performance of controllers designed using GWO algorithm and fuzzy logic that needed retuning for different case studies with different variations in system parameters, load, or inclusion of a cyberattack to the electric vehicle fleets.

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Section: Beheshteh Raouf and Seyedamirabbas Mousavianmentioning

confidence: 99%

A Robust Controller Design based on Kharitonov’s Theorem for Frequency Control in an Interconnected Power System

Raouf

Mousavian

2023

EJECE

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“…However, the IHPS model is capable of controlling load frequency within a limited range of load and wind disturbance [6]. The voltage fluctuations occur due to the difference between reactive power generation and consumption at the WTG terminal, which decreases the IHPSs' stability and reliability [7]. In IHPS, the DEG pollutes the environment through the emission of smock.…”

Section: List Of Abbreviationsmentioning

confidence: 99%

Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System

Ganguly,

Mudi,

Mukherjee

et al. 2023

IEEE Access

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Access to reliable electricity is crucial for rural development and improving the quality of life in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are promising solutions for rural electrification. However, frequency stabilization is a critical challenge in such systems, and conventional control techniques are inadequate. This work proposes a novel approach to optimize the PID controller gains for the standalone PV-based isolated HPS (IHPS). The student psychology-based optimization algorithm (SPBOA) and quasi-oppositional-based whale optimization algorithm (QOWOA) are employed to enhance the performance of the IHPS models separately. The objective function considered is the integral of time absolute error (ITAE), and the frequency response profile is studied in the presence of the proposed SPBOA and QOWOA-based PID controllers. The results show that the proposed SPBOA outperforms the QOWOA in terms of reducing the ITAE by nearly 5% and minimizing the peak and settling time of the frequency response by 5%-7% in different scenarios. The transient responses of the systems to different input conditions are also analyzed, indicating that both the IHPS-I and IHPS-II models are feasible for remote rural electrification. Overall, the proposed approach offers an efficient solution to optimize the PID controller gains for frequency stabilization in standalone PV and HPS. The results demonstrate the benefits of using the SPBOA and QOWOA algorithms to enhance the performance of the systems, making them suitable for remote rural electrification.INDEX TERMS Diesel engine generator; Isolated hybrid power system; Photovoltaic; Proportionalintegral-derivative; Wind turbine generator; quasi-oppositional-based whale optimization algorithm; student psychology-based optimization algorithm.

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“…In this perspective, the researchers have proposed numerous controller design approaches and formulations to optimize the gains of the controllers to fit the dynamics of the power system 15 . The intelligent optimization techniques like a genetic algorithm (GA), 16 BFOA, 17 fuzzy‐GWO, 18 fuzzy‐bat algorithm, 9 Jaya algorithm, 19 etc., have been developed and applied to solve different optimization engineering problems such as tune/optimize the system/controller parameters. A comparative study of various soft computing techniques for reactive power compensation for the hybrid power systems is reported in Reference 15.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, a co‐ordinate power management strategy between SVC, AVR, and wind‐diesel‐based power system for proper power balancing is projected. In Reference 18, the PI controller tuned fuzzy‐GWO algorithm is presented in a wind‐diesel‐based system for improving reactive power performance. A coordinated fuzzy‐Bat algorithm is studied for obtaining the optimized parameters for generators and STATCOM in a two‐area power with the aim of improving the system voltage performance 9 .…”

Section: Introductionmentioning

confidence: 99%

Bio‐inspired hybrid BFOA‐PSO algorithm‐based reactive power controller in a standalone wind‐diesel power system

Wagle

Sharma

et al. 2021

Int Trans Electr Energ Syst

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Summary With an increase in the penetration of renewable energy sources such as wind into the power systems, the operation and control of voltage/reactive power have become more complicated and challenging than ever. As a result, the reactive power imbalance between reactive power generation and demand instigates a reduction in system voltage stability. To deal with the aforesaid scenarios, automatic voltage regulator (AVR) and static synchronous compensator (STATCOM) are incorporated to curtail the voltage deviations in a standalone wind‐diesel power system. In this article, a hybrid bacterial foraging optimization algorithm‐particle swarm optimization (hBFOA‐PSO) algorithm is proposed for optimizing the PI controller parameters of AVR and STATCOM to further improve the system voltage/reactive power performance. Additionally, H∞‐loop shaping technique is designed to analyze the performance indexes (ie, robustness and stability) of the presented controller with the aim of handling the unstructured uncertainties from generation and loading situation. In order to present the efficiency of the proposed controllers, the performance of the hBFOA‐PSO controller is compared with the performance of the BFOA, PSO, and modified grey wolf optimization (MGWO)‐based PI controllers for the same wind‐diesel system. The dynamic responses of the wind‐diesel system for different disturbance cases have been investigated in the MATLAB/SIMULINK environment.

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Robust distributed control of reactive power in a hybrid wind‐diesel power system with STATCOM

Cited by 8 publications

References 33 publications

A Robust Controller Design based on Kharitonov’s Theorem for Frequency Control in an Interconnected Power System

A Robust Controller Design based on Kharitonov’s Theorem for Frequency Control in an Interconnected Power System

Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System

Bio‐inspired hybrid BFOA‐PSO algorithm‐based reactive power controller in a standalone wind‐diesel power system

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