Robust CDA-PIDA Control Scheme for Load Frequency Control of Interconnected Power Systems

Kumar, Mahendra; Hote, Yogesh V.

doi:10.1016/j.ifacol.2018.06.164

Cited by 38 publications

(32 citation statements)

References 16 publications

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“…In this concept, the non-integer derivative and integrative solutions are in the end approximated by HO filters. In contrast, in the concept of PID m n control [9,10] (generalized PID control with mth-order derivatives and nth-order low-pass filters), possibly including controllers with HO derivatives such as proportional-integral-derivative-accelerative (PIDA) control [11][12][13][14][15][16], the HO controllers are designed directly. As the main motivation for the FO-PID control, one can say that one tries to find more degrees of freedom.…”

Section: Introductionmentioning

confidence: 99%

Delay Equivalences in Tuning PID Control for the Double Integrator Plus Dead-Time

Huba

Vrančić

2021

Mathematics

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The paper investigates and explains a new simple analytical tuning of proportional-integrative-derivative (PID) controllers. In combination with nth order series binomial low-pass filters, they are to be applied to the double-integrator-plus-dead-time (DIPDT) plant models. With respect to the use of derivatives, it should be understood that the design of appropriate filters is not only an implementation problem. Rather, it is also critical for the resulting performance, robustness and noise attenuation. To simplify controller commissioning, integrated tuning procedures (ITPs) based on three different concepts of filter delay equivalences are presented. For simultaneous determination of controller + filter parameters, the design uses the multiple real dominant poles method. The excellent control loop performance in a noisy environment and the specific advantages and disadvantages of the resulting equivalences are discussed. The results show that none of them is globally optimal. Each of them is advantageous only for certain noise levels and the desired degree of their filtering.

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Section: Introductionmentioning

confidence: 99%

Delay Equivalences in Tuning PID Control for the Double Integrator Plus Dead-Time

Huba

Vrančić

2021

Mathematics

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“…Coefficient diagram algorithm (CDA) integrated with proportional-integral-derivative acceleration (PIDA) controller was introduced to design LFC system cope with high overshoot, and big settling time. The suggested controller is developed for two-area system in the presence of variations of systems parameters and operating conditions [8]. Harris Hawks optimizer is implemented for determining the parameters of LFC in an interconnection power plants considering the renewable energy source [9].…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control Using Optimized Control Techniques

Hemeida

Mohamed

Mahmoud

2020

JES. Journal of Engineering Sciences

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The current study addresses the impact of the optimized controller to load frequency control (LFC) problem. The proportional-integral-derivative (PID) parameters is determined for both single area and two area control system using genetic algorithms (GA), Particle swarm optimization (PSO), and grey wolf optimization techniques (GWO). The LFC is a stochastic problem due to the load variations and changing the system operating conditions. This results in failing the conventional controller to adapt the LFC in case of implementing the conventional PID. So that, implementing optimized, the PID controller parameters using GA, PSO, and GWO. The technique is used for single area system as well two-area system. The results show the accuracy and robustness of implementing the optimized controller parameters. MATLAB/Simulink is used to solve the system equations. The suggested optimized controller shows fast response with better control quality in compared with conventional controller.

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“…Recently, a variant of PID controller attracts the attention of power system researchers and control practitioners, which is known as proportional integral derivative acceleration (PIDA) or proportional integral derivative double derivative (PIDD2) [4,7,[10][11][12][13][14][15][16][17][18][19][20]. The acceleration term in PIDA controller has improved the stability of the control system [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…In the literature, many researchers have applied the PIDA controller for LFC problem in power system networks, i.e. PIDA controller is well established for LFC task in power system networks [4,7,[10][11][12][13][14][15][16]20].…”

Section: Introductionmentioning

confidence: 99%

“…The limitation of CRA is that the characteristic ratios are selected based on the trial and error method [22]. Further, the feature of CDAlg is that the fmincon optimisation algorithm is used for selection of characteristic ratios [14]. In addition, the characteristic ratios values in CDM are obtained using grasshopper optimisation algorithm for LFC task in [23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

Kumar

Hote

2020

IET gener. transm. distrib.

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The frequency control is the mandatory task in a modern power system because of load demand variation and the integration of renewable energy sources (RESs). The main objective of automatic generation control (AGC) scheme is to maintain the balance between generation and load demand. This study proposes a graphical robust characteristic ratio assignment (RCRA) approach for PIDA controller tuning based on maximum sensitivity (M s) for AGC. The basic feature of this graphical approach is that characteristic ratios (γ i) in RCRA scheme are calculated in terms of M s. The important part of this design is that the analytical expressions for coefficient gains of PIDA controller are derived in terms of γ i and system parameters. Here, the non-reheat steam-turbine and hydro-turbine based single and multi-area power systems are considered for validation of the proposed control scheme. The critical issue in controller design for a hydro-turbine based power system is the non-minimum phase behaviour. The robustness and performance of RCRA-PIDA controller are examined under system non-linearities, parametric uncertainty and disturbances. Further, the performance of proposed approach is evaluated in the presence of RESs. Finally, it is observed that the proposed control approach performs better in comparison to the recently published control schemes.

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Robust CDA-PIDA Control Scheme for Load Frequency Control of Interconnected Power Systems

Cited by 38 publications

References 16 publications

Delay Equivalences in Tuning PID Control for the Double Integrator Plus Dead-Time

Delay Equivalences in Tuning PID Control for the Double Integrator Plus Dead-Time

Load Frequency Control Using Optimized Control Techniques

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

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