Robust PIDD2 Controller Design for Perturbed Load Frequency Control of an Interconnected Time-Delayed Power Systems

Kumar, Mahendra; Hote, Yogesh V.

doi:10.1109/tcst.2020.3043447

Cited by 64 publications

(30 citation statements)

References 40 publications

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“…The apropos literature has witnessed various works on the novel controller design. Some of the recently published literature incorporates PI/PID structured controllers are dragonfly search algorithm [11], bacterial foraging optimization algorithm (BFOA) [12], particle swarm optimization (PSO) and hybrid BFOA (PSO-hBFOA) algorithm [13], lozi map-based chaotic algorithm [14], firefly algorithm tuned PI controller [15], PIDD2 control approach [16], ant colony optimization for hydrothermal power plant [17], flower pollination algorithm tuned PI-PD cascade control [18], genetic algorithm (GA)/differential evolution (DE) [19], bat algorithm tuned PD-PID cascade control approach [20], improved stochastic fractal search (SFS) algorithm [21], sine cosine algorithm based PI controller [22], DE tuned PI/PID [23], biogeography based optimization tuned I/PI/PIDF [24], teaching learning based optimization algorithm based 2-degree of freedom (DOF) PID (2DOF-PID) [25], disrupted oppositional based gravitational search algorithmpattern search based PID [26], symbiotic organism search algorithm tuned PID [27], hybrid SFSlocal unimodal sampling (hSFS-LUS) based multistage PDF-(1+PI) [28] and imperialist competition algorithm tuned PID controller for PV-thermal and hydrothermal based interconnected power system [29]. A GA-based LFC scheme with the stability evaluation under solar, DG, and battery-based distributed energy sources is demonstrated in Ref.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…A (1+PD)-PID-based cascade control approach for the interconnected power system under RE contributions is briefed in [11]. Kumar and Hote [16] design a robust PIDD2 controller to mitigate the frequency deviations in the interconnected power system. The authors have chosen Kharitonov's theorem-based worst-case plant section model design.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…The authors have chosen Kharitonov's theorem-based worst-case plant section model design. A sliding mode control approach is implemented to design a robust controller [16]. In order to improve the performance of the control scheme, other advanced control approaches based on H-infinity [30], sliding modes [31], fuzzy logic control [32,33], artificial neural network-based [34], adaptive neuro-fuzzy inference system [35], disturbance observer-based fractional control [36], nonlinear disturbance observer [37], modified tilted control approach [38], delay-dependent control approach including electric vehicles, and constant and varying loads [39,46] and fractional control approach [40] are discussed.…”

Section: B Literature Reviewmentioning

confidence: 99%

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Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares

et al. 2022

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Unpredictable high renewable shares in standalone microgrid (MG) system with stochastic load demands introduces an unavoidable mismatch among loads and sources. This mismatch directly impacts the system frequency that can be mitigated via applying a suitable load frequency control (LFC) scheme. This brief proposes a maiden attempt of marine predator algorithm (MPA) assisted one plus proportional derivative with filter-fractional order proportional-integral ((1+PDF)-FOPI) controller to obtain the proper power flow management among loads and sources. The investigated MG system consists of a photovoltaic (PV) system, a wind turbine (WT) generator (WTG), and a diesel engine generator (DG) as the distributed energy sources, and an ultracapacitor (UC) and a flywheel are chosen as the energy storage elements (ESEs). Various system nonlinearities such as governor dead-band (GDB) and generation rate constraint (GRC) are also considered reflecting the practical scenario. Five state-of-the-art optimization techniques and three traditional controllers, PID, FOPID, and PI-PD, are vividly compared to assess the proposed scheme's performance. The parametric uncertainties are considered to obtain the robust performance of the proposed control scheme. An eigenvalues-based stability evaluation of the considered plant employing the proposed LFC scheme is also included in this work. In the worst situation, the maximum frequency deviation is obtained as -0.016 Hz, which is entirely satisfactory and under the range of the IEEE standard. Finally, a modified New England IEEE-39 test bus system is chosen to perform the real-time validation.

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Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares

et al. 2022

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“…They tried proving robustness of the proposed system in balancing that frequency of the great Britain power system by comparing their controller with controllers which were tuned using the particle swarm optimization (PSO) algorithm and Teaching learningbased optimization (TLBO) and used it for the same considered systems. Kumar et al [14] designed a robust PIDD2 Controller for preturbed Load frequency control of Interconnected time-delayed power systems. They tuned the PIDD2 controller using internal model control (IMC) algorithm.…”

Section: Introductionmentioning

confidence: 99%

HWOT-scaled Cascade fractional order hybrid controller applied to Renewable based EV generating systems

Biswas¹,

Mondal²,

Roy

et al. 2022

Preprint

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In the upcoming epochs, conventional energy may deplete soon. Thus, the use of conventional energy in the power industries need to be supplemented by non-conventional energy resources. This would result in loss of synchronisms in the power grids owing to the fact that solar and wind alternate their attributes expeditiously with change in atmospheric phenomenon. To ameliorate frequency deviation within a specific range automatic generation control (AGC) implements forced allowance on system operation. A three area thermal with photovoltaic (PV), electric vehicle (EV), wind system is considered under deregulated environment to develop and to judge the efficacy of newly developed cascade fractional order hybrid controller combination of (FOTID & 3DOF-PID). Comparing the aforementioned controller to other controllers such as the three degree of freedom proportional-integral-derivative (3DOF-PID), the fractional order tilt-integral-derivative (FOTID), and the proportional-integral-derivative (PID) justifies the system’s effectiveness. This assessment has been accomplished by a trendy optimization technique such as hybrid whale optimization algorithm (HWOT). However, the main intent of this write-up is to fabricate a cascade fractional order (CC-FO) hybrid controller that would act as the new control mechanism for the proposed system under deregulated scenario. It has been found that the suggested CC-FO hybrid controller stabilises the system ( i.e., Under step load disruptions, frequency deviation and tie-line power become zero) in the shortest amount of time possible. Additionally, it is seen that the recommended controller can control a wide range of nominal loading circumstances and system characteristics, demonstrating its robustness.

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“…The underlying advantage of a real PIDD 2 controller is that it can provide smoother and faster responses for higher order systems within acceptable limits of overshoot and settling time [11]. Therefore, the utilization of real PIDD 2 controllers can be encountered in different higher order systems such as multi-area thermal system [12], interconnected time-delayed power systems [13], automatic voltage regulator system [14], isolated microgrid system [15] and blood glucose level maintaining system [16]. Considering the abovementioned ability of the real PIDD 2 controller for higher order systems and its rising trend in employment of the applications as an effective control structure, it was utilized to achieve better stability in this study.…”

Section: Introductionmentioning

confidence: 99%

An Effective Controller Design Approach for Magnetic Levitation System Using Novel Improved Manta Ray Foraging Optimization

2021

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This paper demonstrates the development of a novel metaheuristic algorithm which has an enhanced diversification and intensification features and aims to construct an efficient mechanism via the developed algorithm to control a magnetic object suspension. Manta ray foraging optimization (MRFO) algorithm together with generalized opposition-based learning (GOBL) technique and Nelder-Mead (NM) simplex search method is used to define the general frame of the developed algorithm. The developed novel algorithm (Ob-MRFONM) employs the NM method for better intensification whereas integrates the GOBL technique for better diversification. The constructed Ob-MRFONM algorithm is confirmed to have enhanced capabilities via evaluations against well-known unimodal and multimodal benchmark functions. The developed algorithm is also utilized to reach optimum values of a real PID plus second-order derivative (PIDD 2 ) controller employed in a magnetic object suspension system to demonstrate the capability of the Ob-MRFONM algorithm for such a complex real-world engineering problem. It is worth noting that this paper is the first report in the literature that demonstrates the application of a real PIDD 2 controller in a magnetic object suspension system. To reach better capability, a new objective function is used for minimization. Then, the proposed approach is comparatively evaluated in terms of statistical and nonparametric statistical analysis, convergence, transient response, disturbance rejection, controller effort and effects of the noise signal. The demonstrated results also confirm the highly competitive capability of the proposed algorithm for the complex magnetic object suspension system. The nonlinear model of the system is also used in this study in order to validate the linearized model. KeywordsManta ray foraging optimization • Nelder-Mead method • Opposition-based learning • Real PIDD 2 controller • Magnetic ball suspension system • Nonlinear plant B Davut Izci

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Robust PIDD2 Controller Design for Perturbed Load Frequency Control of an Interconnected Time-Delayed Power Systems

Cited by 64 publications

References 40 publications

Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares

Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares

HWOT-scaled Cascade fractional order hybrid controller applied to Renewable based EV generating systems

An Effective Controller Design Approach for Magnetic Levitation System Using Novel Improved Manta Ray Foraging Optimization

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