Modelling issues and aggressive robust load frequency control of interconnected electric power systems

Dritsas, Leonidas; Kontouras, Efstathios; Vlahakis, Eleftherios E.; Kitsios, Ioannis; Halikias, George; Tzes, Anthony

doi:10.1080/00207179.2020.1821248

Cited by 20 publications

(5 citation statements)

References 56 publications

(98 reference statements)

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“…The system Controllability test was carried out on the intelligent master controller model using MATLAB and the results shows that the develop system was stable. This result in Table 2, validates the controllability matrix condition in equation 13 and [17,3].…”

Section: Controllabilitysupporting

confidence: 79%

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Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

Jack¹,

Dike²,

Olubiwe³

et al. 2021

EPES

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Every conceptual framework requires several developmental stages such as prototyping, preproduction and production stages. This paper considers prototype developmental stage which entails design, modelling and simulation for the conceptual system to determine suitable parameters and specifications before the production task is initiation. The inability to represent the conceptual control system with mathematical equivalence would hamper on the system operational efficiency, stability, controllability and observability; would not be guaranteed. This paper focuses on the modelling and simulation of intelligent master controller for hybridized power pool deployment. This is achieved using state space mathematical model, MATLAB/Simulink and proteus software. The state space model provides the mathematical equation for the system stability, controllability and observability criteria from the system transfer function. The MATLAB/Simulink software provides response trends and the Proteus software provides the virtual implementation platform for concept validation with its code written in Arduino (IDE). The system was demonstrated through simulation and the virtual results showed that the system capability in fostering intelligent control commands in the hybridized power pool scenario. The system stability was determined using Root locus, Nyquist and Routh Hurwitz criteria. Subsequent research efforts are being made towards implementing the design optimizable on the hardware using the design specifications.

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Section: Controllabilitysupporting

confidence: 79%

“…The load frequency controller was then designed using the expected wind power. A load frequency control model for an interconnected power system was also constructed [17]. This control strategy was applied to a four-area power system with integrated wind power (multi-energy injection for continuous energy harvest) in three areas [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

Jack¹,

Dike²,

Olubiwe³

et al. 2021

EPES

View full text Add to dashboard Cite

show abstract

“…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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“…For numerous power system architectures, the problem of frequency stability has been addressed. Researchers in [4,5] investigated LFC for one-area systems, whereas [6][7][8] investigated a multi-area system with nonlinearities, while [9,10] examined a deregulated power system. Several control methods have been used to solve the problem of load frequency control in power systems.…”

Section: Literature Reviewmentioning

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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Modelling issues and aggressive robust load frequency control of interconnected electric power systems

Cited by 20 publications

References 56 publications

Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

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

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