Design of Fractional Order Cascaded Controller for AGC of a Deregulated Power System

Jena, Narendra Kumar; Sahoo, Subhadra; Sahu, Binod Kumar; Mohanty, Kanungo Barada

doi:10.1007/s40313-022-00897-z

Cited by 12 publications

(11 citation statements)

References 36 publications

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“…As a result, eleven MFs are considered for both outputs and inputs. All MFs have a value between -1 and 1, [45][46][47][48]. Mamdani, obtain the value for each membership function output.…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

“…Neuron Structure comprises the following elements: xp stands for Inputs, wkp stands for Weights, phi (φ) stands for activation function, and out stands for output. The net input of the activation function is diminished using the threshold [43][44][45][46][47][48][49][50]. Adaptive Neuro-fuzzy inference is used to modify the membership function parameters of fuzzy inference systems of the Mamdani type (ANFIS).…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

“…The SOA is used to determine the values of the best PIDN gain parameters, including fuzzy scaling factors (K1, K2, and K3) controllers for AGC and KP, KI, KD, and N. Figure .11. depicts the SOA flow chart for determining the appropriate optimization parameter values [47][48]. Before creating the Neuro-fuzzy logic-based PIDN controller, selecting the target function with the requirements and limits is more important.…”

Section: Cascaded Proportional-integration-derivative With Filter Coe...mentioning

confidence: 99%

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A Novel Adaptive Neuro-Fuzzy Based Cascaded PIDF-PIDF Controller for Automatic Generation Control Analysis of Multi-Area Multi-Source Hydrothermal System

Ramshanker¹,

Ravi²,

Edward³

et al. 2022

Preprint

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This article investigated the Automatic Generation Control(AGC) of multi-area multi-source interconnected systems with hydropower plants, thermal power plants, and wind energy. Adaptive Neuro-fuzzy controller integrated with the cascaded proportional-integral-derivative with filter (PIDF-PIDF) is a new cascaded controller (ANF-PIDF-PIDF) that has been presented as a secondary controller for applied hybrid power systems. The recent Skill Optimization Algorithm (SOA) is employed to optimize PIDF- PIDF controller parameter gains and the Adaptive Neuro-Fuzzy controller's inputs and output scaling factors. SOA is used to update the controller parameters with integral square error (ISE) employed as the objective function. A 1% step load disturbance was considered simultaneously in all three areas. The controller's performance is evaluated and compared with and without considering the effects of wind energy sources and non-linearity for ANF-PIDF-PIDF, PIDF-PIDF, and PIDF and it was determined that the ANF-PIDF-PIDF was the most efficient. The dynamic system performance is also compared with parallel high voltage direct current (HVDC) tie-lines. The investigation clearly shows that incorporating HVDC tie-line with multi-area, multi-source provides better dynamic performance in maximum amplitude, oscillation, and settling time. Additionally, sensitivity analysis is done and the optimum controller gains does not need to be reset to uncertain values in system loading conditions. All simulation results were evaluated using MATLAB 2016b.

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“…As a result, eleven MFs are considered for both outputs and inputs. All MFs have a value between -1 and 1, [45][46][47][48]. Mamdani, obtain the value for each membership function output.…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

Section: Cascaded Proportional-integration-derivative With Filter Coe...mentioning

confidence: 99%

See 1 more Smart Citation

A Novel Adaptive Neuro-Fuzzy Based Cascaded PIDF-PIDF Controller for Automatic Generation Control Analysis of Multi-Area Multi-Source Hydrothermal System

Ramshanker¹,

Ravi²,

Edward³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Next, for tuning controller gains, researchers have considered various cost function which include tie-line power deviation and deviation in area frequencies such as integral (I) of squared error (ISE) and I of time multiplied SE (ITSE), I of absolute error (IAE), I of time multiplied AE (ITAE). [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] Alhelou et al 26 compared performance of various cost function in load frequency control (LFC) reveals that ITSE shows lower peak of frequency deviation, overshoot and settling time than mostly used cost function that is, ISE.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To tackle the AGC problem authors have utilized sine cosine algorithm for tuning gain of cascade FOPI‐FOPD 6 and FOPI‐FOPID 7 controller for three‐area multi‐source deregulated power system shown better dynamic performance as compared to commonly used classic controllers. Authors have offered a variety of traditional and adaptive ways for tuning the controller parameters in the restructured system like artificial cooperative search algorithm (ACSA), 8 opposition‐based harmonic search (OHS), 9 ant lion optimizer (ALO), 10 moth flame optimization (MFO), 11,12 crow‐search algorithm (CSA), 13 salp swarm algorithm (SSA), 14–16 imperialist competition algorithm (ICA), 17 bacterial foraging optimization (BFO), 18 volleyball premier league algorithm (VPLA), 19 water cycle algorithm (WCA), 20 mine blasting algorithm (MBA), 21 genetic algorithm (GA), 22 modified group search optimization algorithm (MGSOA), 23 opposition‐based interactive search algorithm (OISA), 24 and selfish herd optimization technique (SHOT) 25 . All of them have implemented different controllers to solve AGC problem with satisfactory and superior results.…”

Section: Introductionmentioning

confidence: 99%

SSA‐optimized cascade optimal‐PIDN controller for multi‐area power system with RFB under deregulated environment

Rangi

Jain

Arya

2022

Optim Control Appl Methods

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In today's rapidly evolving interconnected electric power system network, ancillary service such as automatic generation control (AGC) plays a critical and important role in safeguarding the system's power supply quality by establishing an equilibrium between generation and load demanded plus losses. A power system with a robust and smart AGC strategy is obligatory for better power quality and system security. Cascade control schemes cope up better with nonlinearity by tuning the gain of controller of power system amid continuous load changing. Therefore, in this article, a supplementary control approach that is, cascade optimal controller‐proportional integral with derivative filter (COC‐PIDN) is suggested for AGC performance advancement of the power systems under deregulated environment. The OC designed consuming full state feedback control approach acts as master controller and PIDN plays the role of slave controller. The nature inspired salp swarm algorithm is employed to adjust the PIDN parameters. Initially, the efficacy of the COC‐PIDN control‐method is explored on a two‐area restructured reheat thermal system and then to validate its excellence and extensibility, the study is protracted to restructured two‐area thermal‐hydro system. Extensive analysis of the findings establishes that the dynamic performance of the COC‐PIDN controller is more valuable than the OC and COC‐PID approaches. The results of COC‐PIDN get further improved in presence of redox flow battery. Finally, the sensitivity analysis as well the acquired results with the COC‐PIDN controller with system nonlinearities demonstrate its robustness.

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Frequency Stability Improvement in a Four-Area Power System with FOPID Controller

Jena

Sahoo

Naik

et al. 2023

Lecture Notes in Mechanical Engineering

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Design of Fractional Order Cascaded Controller for AGC of a Deregulated Power System

Cited by 12 publications

References 36 publications

A Novel Adaptive Neuro-Fuzzy Based Cascaded PIDF-PIDF Controller for Automatic Generation Control Analysis of Multi-Area Multi-Source Hydrothermal System

A Novel Adaptive Neuro-Fuzzy Based Cascaded PIDF-PIDF Controller for Automatic Generation Control Analysis of Multi-Area Multi-Source Hydrothermal System

SSA‐optimized cascade optimal‐PIDN controller for multi‐area power system with RFB under deregulated environment

Frequency Stability Improvement in a Four-Area Power System with FOPID Controller

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