Equilibrium optimizer‐tuned cascade fractional‐order
            <scp>3DOF‐PID</scp>
            controller in load frequency control of power system having renewable energy resource integrated

Guha, Dipayan; Roy, Provas Kumar; Banerjee, Subrata

doi:10.1002/2050-7038.12702

Cited by 56 publications

(38 citation statements)

References 55 publications

(77 reference statements)

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“…These are the exploration (diversification) and exploitation (intensification) phases of HHO, encouraged by Harris Hawk's quarry, a surprise swoop, and various attack strategy. Harris Hawks are the solutions to be nominated under HHO and, at each stage; the most apposite nominated solution is the expected quarry or almost the supreme solution 42 . When we assume that each perching strategy has equal chances ( eq ) that is, if eq < 0.5, they focus on family and bunny positions, and when eq ≥ 0.5, they perch on random tall trees, which is given as (28),

H ((), t + 1) = ({, \begin{array}{c} H_{random} ((), t) - r_{1} ∣ H_{random} ((), t) - 2 r_{2} H ((), t) ∣ italiceq \geq 0.5 \\ ((), H_{b} ((), t) - H_{avg} ((), t)) - r_{3} ((), L + r_{4} ((), U - L)) italiceq < 0.5 \end{array})

where H ( t + 1) is the hawks' site vector at succeeding iteration t, H b ( t ) is the site of bunny, H ( t ) is present site vector of Harris hawks, r 1 , r 2 , r 3 , r 4 are the random numbers updated in every iteration.…”

Section: Harris Hawks Optimization (Hho)mentioning

confidence: 99%

Utilization of electric vehicles in combined voltage‐frequency control of multi‐area thermal‐combined cycle gas turbine system using two degree of freedom tilt‐integral‐derivative controller

Ramoji

Saikia

2021

Energy Storage

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This paper conveys the unified control pattern of frequency and voltage of interconnected multi‐area power system through the automatic load frequency control (ALFC) loop and automatic voltage regulator (AVR) loop. Each area includes a single‐stage reheat thermal plant, combined cycle gas turbine (CCGT) plant, and electric vehicles (EVs). Pertinent generation rate constraint for thermal and CCGT plant and governor dead band for the thermal plant is considered. A maiden attempt has been made to introduce the two degree of freedom tilt‐integral‐derivative (2DOFTID) controller for both the ALFC and AVR loops. In this study, a meta‐heuristic algorithm called Harris Hawks optimization (HHO) is implemented to optimize the controller parameters. Study divulges that performance of the 2DOFTID controller predominates when compared with TID and proportional‐integral‐derivative with filter (PIDF) controller apropos time‐domain indices. By juxtaposition, the superiority of the proposed algorithm and performance index is observed. Also, improved system dynamics were independently exhibited by the influence of the lumped EV model and AVR. For the predominance of the 2DOFTID controller, different patterns of disturbances such as random and sinusoidal varying load perturbation have been investigated. Eventually, the sensitivity studies were accomplished to determine the sturdiness of the proposed controller for substantial variations in the system parameters.

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H ((), t + 1) = ({, \begin{array}{c} H_{random} ((), t) - r_{1} ∣ H_{random} ((), t) - 2 r_{2} H ((), t) ∣ italiceq \geq 0.5 \\ ((), H_{b} ((), t) - H_{avg} ((), t)) - r_{3} ((), L + r_{4} ((), U - L)) italiceq < 0.5 \end{array})

Section: Harris Hawks Optimization (Hho)mentioning

confidence: 99%

Utilization of electric vehicles in combined voltage‐frequency control of multi‐area thermal‐combined cycle gas turbine system using two degree of freedom tilt‐integral‐derivative controller

Ramoji

Saikia

2021

Energy Storage

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“…Under load conditions, deviation in load patterns, communication delays, system parameters, and wind farm penetration, the performance of proposed digital model is evaluated and compared with analog model. Guha et al, 42 have presented a cascade fractionalorder controller (CC-FOC), it contains 3 degrees of individual PID (3DOF-PID) including tilt integral derivative (TID) controllers to address the complexity of LFC of interlinked PS incorporated to DFIG-driven wind power scheme. Safaria et al, 43 have illustrated a proficient PID controller for LFC in island Micro-grid, moreover presents a model of electric vehicles for LFC system contribute.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

Munisamy

Sundarajan

2021

Intl J of Energy Research

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In this manuscript, the load frequency control (LFC) of multiple area hybrid power system (PS) integrated with renewable energy sources (RESs) using energy storage system (ESS) is proposed. The proposed hybrid method is the joint execution of Meta-heuristic Anopheles Search Algorithm (MASA) and artificial intelligence (AI) technique and hence it is named as MASAAI technique. The main aim of the proposal is "to diminish the load frequency deviations in 3-area hybrid PS." The thyristor controlled phase shifter (TCPS) and ultra-capacitor (UC) application are used in LFC. During the operation of power system, the power distribution quality is suffered owing to continual and random changes in load. Hence, the PS control is necessary for maintaining a continual balance amid the power generation and load demand. The proportional integral derivative (PID) is agreed to LFC mode. Here, the 3-area system is incorporated with conventional RESs like solar, biomass, and fuel cell. UPFC is joined in series with tie-line, ensures the stabilization of the system and also presents more service and the quality of power is sustained by the subordinate control of super capacitor energy storage. With the help of MASAAI method, suppressing the peak value of the frequency deviation by power modulation control is a way to lessen this issue. With this proper control, the MASAAI method efficiency becomes optimum in deregulated environment that is agreed to LFC mode. Finally, the proposed method is activated in MATLAB/Simulink site and the performance is compared with existing methods. Finally, the simulation outcomes demonstrate that the efficiency of MASAAI method is more efficient compared to the existing methods. K E Y W O R D S artificial intelligence (AI) technique, frequency deviation, load frequency control, metaheuristic anopheles search algorithm (MASA)

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“…In the control process of frequency response microgrid model, a kriging based noninteger FO control strategy is developed to tune the controller parameters in less time [21]. The cascaded noninteger FO three degree of freedom (3DOF) controller is applied to adjust control signal of the associated system to enhance frequency stabilization of microgrid power system [22]. However, these control strategies suffer from higher controller parameter with larger run time, suitability issue and complexity.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Maiden Dual-Level Controller for Ameliorating Frequency Control in a Hybrid Microgrid

et al. 2021

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It is known that keeping the power balance between generation and demand is crucial in containing the system frequency within acceptable limits. This is especially important for renewable based distributed hybrid microgrid (DHμG) systems where deviations are more likely to occur. In order to address these issues, this article develops a prominent dual-level “proportional-integral-one plus double derivative {PI−(1 + DD)} controller” as a new controller for frequency control (FC) of DHμG system. The proposed control approach has been tested in DHμG system that consists of wind, tide and biodiesel generators as well as hybrid plug-in electric vehicle and an electric heater. The performance of the modified controller is tested by comparing it with standard proportional-integral (PI) and classical PID (CPID) controllers considering two test scenarios. Further, a recently developed mine blast technique (MBA) is utilized to optimize the parameters of the newly designed {PI − (1 + DD)} controller. The controller’s performance results are compared with cases where particle swarm optimization (PSO) and firefly (FF) techniques are used as benchmarks. The superiority of the MBA-{PI − (1 + DD)} controller in comparison to other two strategies is illustrated by comparing performance parameters such as maximum frequency overshoot, maximum frequency undershoot and stabilization time. The displayed comparative objective function (J) and JFOD index also shows the supremacy of the proposed controller. With this MBA optimized {PI − (1 + DD)} controller, frequency deviations can be kept within acceptable limits even with high renewable energy penetration.

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Equilibrium optimizer‐tuned cascade fractional‐order 3DOF‐PID controller in load frequency control of power system having renewable energy resource integrated

Cited by 56 publications

References 55 publications

Utilization of electric vehicles in combined voltage‐frequency control of multi‐area thermal‐combined cycle gas turbine system using two degree of freedom tilt‐integral‐derivative controller

Utilization of electric vehicles in combined voltage‐frequency control of multi‐area thermal‐combined cycle gas turbine system using two degree of freedom tilt‐integral‐derivative controller

Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

Design and Implementation of Maiden Dual-Level Controller for Ameliorating Frequency Control in a Hybrid Microgrid

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