Fractional order PID Controller design for Load Frequency Control in Parallel Control Structure

Kumar, Shekhar; Anwar, Nishat

doi:10.1109/upec.2019.8893500

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Numerous traditional controllers were optimized with the yellow saddle goatfish algorithm (YSGA) and were utilized for the LFC of a two-area interconnected microgrid [19]. A FOPID controller was developed in [20] to suppress the frequency deviation in a power system. The parameters of the FOPID controller were established by minimizing the integral time absolute error (ITAE) of the frequency deviation using the PSO technique.…”

Section: Introductionmentioning

confidence: 99%

A New Optimized FOPIDA-FOIDN Controller for the Frequency Regulation of Hybrid Multi-Area Interconnected Microgrids

Ahmed,

Ebeed,

Magdy

et al. 2023

Fractal Fract

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This paper proposes a combined feedback and feed-forward control system to support the frequency regulation of multi-area interconnected hybrid microgrids considering renewable energy sources (RESs). The proposed control system is based on a fractional-order proportional-integral-derivative-accelerated (FOPIDA) controller in the feed-forward direction and a fractional-order integral-derivative with a low-pass filter compensator (FOIDN) controller in the feedback direction, referred to as a FOPIDA-FOIDN controller. Moreover, the parameters of the proposed FOPIDA-FOIDN controller (i.e., twelve parameters in each area) are optimally tuned using a proposed hybrid of two metaheuristic optimization algorithms, i.e., hybrid artificial gorilla troops optimizer (AGTO) and equilibrium optimizer (EO), and this hybrid is referred to as HGTOEO. The robustness and reliability of the proposed control system are validated by evaluating its performance in comparison to that of other counterparts’ controllers utilized in the literature, such as PID, FOPID, and tilt integral derivative (TID) controller, under the different operating conditions of the studied system. Furthermore, the proficiency of the proposed HGTOEO algorithm is checked against other powerful optimizers, such as the genetic algorithm, Jaya algorithm, improved Jaya algorithm, multi-verse optimizer, and cost-effective multi-verse optimizer, to optimally design the PID controller for the load frequency control of the studied two-area interconnected microgrid. The MATLAB simulation results demonstrate the viability and dependability of the proposed FOPIDA-FOIDN controller based on the HGTOEO algorithm under a variety of load perturbations and random production of RESs.

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Section: Introductionmentioning

confidence: 99%

A New Optimized FOPIDA-FOIDN Controller for the Frequency Regulation of Hybrid Multi-Area Interconnected Microgrids

Ahmed,

Ebeed,

Magdy

et al. 2023

Fractal Fract

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show abstract

“…Multiple techniques were utilized to obtain the ideal settings of PID controllers such as GA [23], grey wolf optimizer (GWO) [24], sine-cosine approach (SCA) [25], Jaya approach [26], equilibrium optimization algorithm (EOA) [27], improved Rao algorithm [28], the linear-quadratic-Gaussian technique [29]. The optimized fractional-order PID (FOPID) controller for LFC possesses excellent disturbance rejection capability and high robustness during system parameter variations [30][31][32][33]. The optimum parameters of the FOPID were determined using the manta ray foraging optimizer [34], hunger games search optimizer [35], flower pollination algorithm [36], and chaos game optimizer [37].…”

Section: Introductionmentioning

confidence: 99%

Optimal FOPID Controllers for LFC Including Renewables by Bald Eagle Optimizer

Agwa¹,

Abdeen²,

Shaaban³

2022

Computers, Materials &Amp; Continua

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In this study, a bald eagle optimizer (BEO) is used to get optimal parameters of the fractional-order proportional-integral-derivative (FOPID) controller for load frequency control (LFC). Since BEO takes only a very short time in finding the optimal solution, it is selected for designing the FOPID controller that improves the system stability and maintains the frequency within a satisfactory range at different loads. Simulations and demonstrations are carried out using MATLAB-R2020b. The performance of the BEO-FOPID controller is evaluated using a two-zone interlinked power system at different loads and under uncertainty of wind and solar energies. The robustness of the BEO-FOPID controller is examined by testing its performance under varying system time constants. The results obtained by the BEO-FOPID controller are compared with those obtained by BEO-PID and PID controllers based on recent metaheuristics optimization algorithms, namely the sine-cosine approach, Jaya approach, grey wolf optimizer, genetic algorithm, bacteria foraging optimizer, and equilibrium optimization algorithm. The results confirm that the BEO-FOPID controller obtains the finest result, with the lowest frequency deviation. The results also confirm that the BEO-FOPID controller is stable and robust at different loads, under varying system time constants, and under uncertainty of wind and solar energies.

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Optimal self-tuning fractional order fuzzy load frequency control considering sustainable energy sources and electric vehicle

Zamani,

Shafiee,

Sajadinia

2023

International Journal of Ambient Energy

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Fractional order PID Controller design for Load Frequency Control in Parallel Control Structure

Cited by 7 publications

References 19 publications

A New Optimized FOPIDA-FOIDN Controller for the Frequency Regulation of Hybrid Multi-Area Interconnected Microgrids

A New Optimized FOPIDA-FOIDN Controller for the Frequency Regulation of Hybrid Multi-Area Interconnected Microgrids

Optimal FOPID Controllers for LFC Including Renewables by Bald Eagle Optimizer

Optimal self-tuning fractional order fuzzy load frequency control considering sustainable energy sources and electric vehicle

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