Robust Control Based on H∞ and Linear Quadratic Gaussian of Load Frequency Control of Power Systems Integrated with Wind Energy System

Eltamaly, Ali M.; Diab, Ahmed A. Zaki; Abo‐Khalil, Ahmed G.

doi:10.1007/978-3-030-64336-2_4

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…Considerable support has been made by the researchers in order to tackle the frequency regulation issue in the PS. For instance, the authors has examined Load Frequency Control (LFC) in single-area systems (referenced as [8,9]), deregulated energy grids (referenced as [10,11]) , and multi-zone systems with non-linearities (referenced as [12][13][14]) To manage load frequency in power systems, numerous control mechanisms have been implemented, including robust sliding mode controllers [15], model predictive control reference in [16], linear-matrix inequality [17], artificial intelligence-based LFC [18], resilient control methodologies [19], data-driven controllers [20], and robust virtual inertia control [21] and fuzzy logic control (FLC) referenced as [21]. Historically, the PID controller has been the predominant choice for regulating the frequency of interconnected power systems owing to its straightforwardness and economical nature.…”

Section: Literature Studymentioning

confidence: 99%

Load Frequency Stabilization of Distinct Hybrid Conventional and Renewable Power Systems Incorporated with Electrical Vehicles and Capacitive Energy Storage

Daraz,

Alrajhi,

Basit

et al. 2024

Preprint

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Maintaining a power balance between generation and demand is generally acknowledged as being essential to maintaining a system frequency within reasonable bounds. This is especially important for linked renewable-based hybrid power systems (HPS), where disruptions are more likely to occur. This paper suggests a prominent modified "Fractional order-proportional-integral with double derivative (FOPIDD2) controller" as an innovative HPS controller in order to navigate these obstacles. The recommended control approach has been validated in power systems including wind, reheat thermal, solar, and hydro generating, as well as capacitive energy storage and electric vehicle. The improved controller's performance is evaluated by comparing it to regular FOPID, PID, and PIDD2 controllers. Furthermore, the gains of the newly structured FOPIDD2 controller are optimized using a newly intended algorithm terms as squid game optimizer (SGO). The controller's performance is compared to benchmarks such as the grey wolf optimizer (GWO) and jellyfish search optimization. By comparing performance characteristics such as maximum frequency undershoot/overshoot, and steadying time, the SGO-FOPIDD2 controller outperforms the other techniques. The suggested SGO optimized FOPIDD2 controller was analyzed and validated for its ability to withstand the influence of power system parameter uncertainties under various loading scenarios and situations. Without any complicated design, the results show that the new controller can work steadily and regulate frequency with an appropriate controller coefficient.

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Section: Literature Studymentioning

confidence: 99%

Load Frequency Stabilization of Distinct Hybrid Conventional and Renewable Power Systems Incorporated with Electrical Vehicles and Capacitive Energy Storage

Daraz,

Alrajhi,

Basit

et al. 2024

Preprint

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“…Several control methods have been used to solve the problem of load frequency control in power systems. These include model predictive control (MPC) [11], artificial intelligence control [12], robust control approaches [13], and fuzzy logic control [14,15]. Due to its simplicity and cheapness, academic researchers have concentrated their studies on the conventional PID controller.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where r T is the radius of the rotor, λ I is intermittent tip speed ratio as determined by the Equation (13). The nominal wind generation coefficients are displayed in Table 2.…”

Section: Wind Generation Modelmentioning

confidence: 99%

Robust Control of Frequency Variations for a Multi-Area Power System in Smart Grid Using a Newly Wild Horse Optimized Combination of PIDD2 and PD Controllers

Khudhair¹,

Ragab

AboRas

et al. 2022

Sustainability

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This paper proposes a new combined controller, the proportional integral derivative-second derivative with a proportional derivative (PIDD2-PD), to improve the frequency response of a multi-area interconnected power system with multiple generating units linked to it. The optimum gains of the presented controller are well-tuned using a wild horse optimizer (WHO), a modern metaheuristic optimization approach. The main study is a two-area-linked power system with varied conventional and renewable generating units. The physical constraints of the speed turbines and governors are considered. The WHO optimization algorithm is proven to outperform various other optimization approaches, such as the whale optimization algorithms (WOA) and chimp optimization algorithms (ChOA). The efficacy of the proposed WHO-based PIDD2-PD controller is evaluated by comparing its performance to other controllers in the literature (cascaded proportional integral derivative-tilted integral derivative (PID-TID), integral derivative-tilted (ID-T) controller). Multiple and varied scenarios are applied in this work to test the proposed controller’s sturdiness to various load perturbations (step, random, and multi-step), renewable energy source penetration, and system parameter variations. The results are provided as time-domain simulations run using MATLAB/SIMULINK. The simulation results reveal that the suggested controller outperforms other structural controllers in the dynamic response of the system in terms of settling time, maximum overshoot, and undershoot values, with an improvement percentage of 70%, 73%, and 67%, respectively.

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“…Various control mechanisms have been introduced in PSs to address the issue of load frequency management. A few examples include model predictive control [14], robust sliding mode controllers [15], artificial intelligence-based LFC approach [16], linear matrix inequality [17], resilient control methodologies [18], data-driven controllers [19], fuzzy logic control (FLC) [20,21], and robust virtual inertia control [22]. To control the frequency of connected PSs, the classic PID controller has been the principal focus of academic research because of its ease of use and low cost.…”

Section: Introductionmentioning

confidence: 99%

Cascaded Fractional-Order Controller-Based Load Frequency Regulation for Diverse Multigeneration Sources Incorporated with Nuclear Power Plant

Ye,

Daraz,

Basit

et al. 2024

International Journal of Energy Research

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To sustain a system frequency within acceptable limits, it is widely conceded that retaining a power balance between generation and demand is necessary. In order to regulate the frequency of power systems (PSs) this article proposes a novel cascaded based fractional-order controller termed as fractional-order integer- (FOI-) fractional-order proportional integral with double derivative (FOPIDD2). In addition to redox flow batteries and capacitive energy storage, the recommended control strategy has been validated with gas, thermal reheat, hydro, and nuclear power systems. Additionally, a newly designed algorithm known as squid game optimizer (SGO) optimizes the gains of the new FOI-FOPIDD2 controller. The squid game optimizer technique is inspired by the fundamental principles of a conventional Korean sport. It employs a population of candidate solutions and iteratively adjusts the control parameters to discover the optimal set that reduces frequency abnormalities and improves system stability. A comparison is also made between the controller’s performance and benchmarks, including the jellyfish search algorithm, the firefly algorithm, the grey wolf optimizer, and the particle swarm algorithm. The proposed algorithms reduced peak overshoot as compared to grey wolf optimizer algorithm by 35.34%, 46.78%, and 76.89%; jellyfish search optimization algorithm by 34.76%, 77.22%, and 82.56%; and firefly algorithm by 82.67%, 89.23%, and 29.67% for frequency variations in area 1, area 2 and tie line power, respectively. Furthermore, SGO-FOI-FOPIDD2 controllers under different loading circumstances and conditions were evaluated and endorsed for their ability to withstand uncertainties in power system parameters.

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Robust Control Based on H∞ and Linear Quadratic Gaussian of Load Frequency Control of Power Systems Integrated with Wind Energy System

Cited by 9 publications

References 22 publications

Load Frequency Stabilization of Distinct Hybrid Conventional and Renewable Power Systems Incorporated with Electrical Vehicles and Capacitive Energy Storage

Load Frequency Stabilization of Distinct Hybrid Conventional and Renewable Power Systems Incorporated with Electrical Vehicles and Capacitive Energy Storage

Robust Control of Frequency Variations for a Multi-Area Power System in Smart Grid Using a Newly Wild Horse Optimized Combination of PIDD2 and PD Controllers

Cascaded Fractional-Order Controller-Based Load Frequency Regulation for Diverse Multigeneration Sources Incorporated with Nuclear Power Plant

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