Modified Frequency Regulator Based on TIλ-TDμFF Controller for Interconnected Microgrids with Incorporating Hybrid Renewable Energy Sources

Ahmed, Emad M.; Selim, Ali; Alnuman, Hammad; Alhosaini, Waleed; Aly, Mokhtar; Mohamed, Emad A.

doi:10.3390/math11010028

Cited by 8 publications

(7 citation statements)

References 54 publications

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“…In this concept, Voc represents the voltage of an open-circuit battery. The voltage of the EVs is ultimately determined by the state of charge (SOC) and voltage of the batteries as shown in below equation 54 . where C nom and V nom are the nominal contents and batteries voltage powering the EV.…”

Section: Investigation Of Hybrid Power Systems Including Non-linearitiesmentioning

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

Sci Rep

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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: Investigation Of Hybrid Power Systems Including Non-linearitiesmentioning

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

Sci Rep

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Section: Modelling Of Electrical Vehicles (Evs)mentioning

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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“…The performance improvements of FOPID control can be achieved through optimizing its parameters to fulfill predefined criteria of system response (fitness/cost/objective function). Among the presented methods, metaheuristic-based optimization methods have been widely used, and are proven to have better tuning of parameters [9,10]. Another AVR control method based on PID plus the second-order derivative (PIDD2) AVR controller has been presented in [11].…”

Section: Literature Reviewmentioning

confidence: 99%

A Marine-Predator-Algorithm-Based Optimum FOPID Controller for Enhancing the Stability and Transient Response of Automatic Voltage Regulators

Noman,

Almutairi,

Aly

et al. 2023

Fractal Fract

Self Cite

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An improved design optimization method for fractional-order-based proportional integral derivative (FOPID) controllers is proposed in this paper to enhance the stability and transient response of automatic voltage-regulator systems. The FOPID represents a higher degree-of-freedom controller through having five tunable parameters, compared with only three parameters in the integer-order PID controller. In the literature, the performance of the FOPID is highly determined through the design method and its parameter-determination process. Recently, optimum design of the FOPID has found wide employment in several engineering applications through using metaheuristic optimization algorithms. In this paper, an improved method for the FOPID’s parameter optimization is proposed for AVR applications using the marine predator optimization algorithm (MPA). The proposed MPA–FOPID controller is verified through comparing its performance with other featured and newly developed optimization algorithms. The proposed MPA–FOPID comparative analysis has been proven to have better stability, frequency response, robustness, faster response, and disturbance-rejection ability over the other studied methods in this paper.

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Modified Frequency Regulator Based on TIλ-TDμFF Controller for Interconnected Microgrids with Incorporating Hybrid Renewable Energy Sources

Cited by 8 publications

References 54 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

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

A Marine-Predator-Algorithm-Based Optimum FOPID Controller for Enhancing the Stability and Transient Response of Automatic Voltage Regulators

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