Fractional order cascaded controller for AGC study in power system with PV and diesel generating units

Jena, Narendra Kumar; Sahoo, Subhadra; Sahu, Binod Kumar

doi:10.1080/09720502.2020.1731955

Cited by 30 publications

(9 citation statements)

References 11 publications

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“…Because, the presented fossil fuels have a very petite extent of time directed the researchers assimilate the non-conventional generations such as wind, solar, etc. to the prevailing power system [3][4][5][6]. Primary control is not adequate to alleviate and invalidate the steady-state error of the system sharply which imposes a secondary controller.…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Tuning of Cascade Controller for Load Frequency Control of Multi-Area Distributed Generation Resources Optimized by ASOS Algorithm

Pahadasingh

Jena²,

Panigrahi³

2022

IJEEI

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This paper provides closed-loop tuning of the cascaded-tilted integral derivative controller (CC-TID) for load frequency control (LFC) of a microgrid system. A microgrid system is the arrangement of distributed generation resources such as a wind turbine generator (WTG), fuel cell (FC), aqua electrolyzer (AE), diesel engine generator (DEG), and battery energy storage system (BESS). Different controllers such as proportional integral derivative (PID), two degrees of freedom (2DOFPID), three degrees of freedom (3DOFPID), and tilted integral derivative (TID) are used not only to sustain the disparity between real power generation and load demand but also accomplish zero steady-state error to enrich the frequency and tie power regulations. The anticipated controller encompasses both the value of cascade (CC) and fractional order (FO) controls for better elimination of system instabilities. In the proposed CC-3DOFPID-TID controller, the TID controller is cast-off as a slave controller, and the 3DOFPID controller aided the role of the dominant controller. The controlled parameters are optimized by an adaptive symbiotic organism search (ASOS) algorithm for keen results of difficulties in LFC. To persist in an ecosystem, symbiotic relations are predictable by an organism through imitators. Further, the dynamic behaviors of the controller optimized by ASOS, teaching learning-based optimization (TLBO), and differential evolution particle swarm optimization (DEPSO) are compared by extensive simulations in MATLAB/SIMULINK. Moreover, the supremacy of the proposed controller is performed through system dynamics comparison among PID, 2DOFPID, 3DOF-PID, and CC-3DOFPID-TID controllers. Finally, the sensitivity of the proposed controller has been proven through random load perturbation.

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Section: Introductionmentioning

confidence: 99%

Closed-Loop Tuning of Cascade Controller for Load Frequency Control of Multi-Area Distributed Generation Resources Optimized by ASOS Algorithm

Pahadasingh

Jena²,

Panigrahi³

2022

IJEEI

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“…Raj and Shankar [28] combined 2-DOF PID controller with fractional order (FO) ID controller for LFC of a three area multi source restructured system. A 3-DOF non-integer/FO controller cascaded with PD controller is proposed by Jena et al [29] for a two-area interconnected system.…”

Section: Introductionmentioning

confidence: 99%

“…Selection of the gain parameters of the controllers play prime role for the better performance of the controllers. Hence several computational algorithms such as genetic algorithm (GA) [2], particle swarm optimisation (PSO) [8], bacteria foraging algorithm [10], symbiotic organism search algorithm [9,18], hybrid of PSO and pattern search algorithm [14], teaching learning based optimisation [15], differential evolution [17], hybrid of GA and fire-fly [20], whale optimisation [23,27], sine-cosine algorithm [25], flower pollination algorithm [21], interactive search algorithm [28], wild goat algorithm [29], grey wolf optimisation technique [30] etc. applied for tuning of the controller gains.…”

Section: Introductionmentioning

confidence: 99%

Novel application of Selfish Herd Optimisation based fractional order cascaded controllers for AGC study

Sahoo

Jena

Sahu

et al. 2021

IJEEI

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In a modern, and complex power system (PS), robust controller is obligatory to regulate the frequency under uncertain load/parameter change of the system. In addition to this, presence of nonlinearities, load frequency control (LFC) of a Power System becomes more challenging which necessitates a suitable, and robust controller. Single stage controller does not perform immensely against aforesaid changed conditions. So, a novel noninteger/fractional order (FO) based two-stage controller incorporated with 2degrees of freedom (2-DOF), derivative filter (N), named as 2-DOF-FOPIDN-FOPDN controller, is adopted to improve the dynamic performance of a 3-area power system. Each area of the power system consists of both non-renewable and renewable generating units. Again, to support the superior performance of 2-DOF-FOPIDN-FOPDN controller, it is compared with the result produced by PID, FOPID, and 2-DOF-PIDN-PDN controllers. The optimal design of these controllers is done by applying Selfish Herd Optimisation (SHO) technique. Further, the robustness of the 2-DOF-FOPIDN-FOPDN controller is authenticated by evaluating the system performance under parameter variation. The work is further extended to prove the supremacy of SHO algorithm over a recently published article based on pathfinder algorithm (PFA).

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“…This increases the flexibility for better design of control system and handles the system dynamics and nonlinearities with robustness [26]. The FOPID controller has been observed expedient in various ALFC systems in conjunction with intelligence based heuristic methods such as ALO based fuzzy FOPID [27], BBBC [28], PSO [29], ICA [30], SHO [31]. On the other hand, the V2G technology in EV improves the frequency regulation of the system by minimizing the ACE.…”

Section: Introductionmentioning

confidence: 99%

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

et al. 2020

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The large-scale penetration of intermittent renewable energy (RE) sources such as wind and solar power generation may cause a problem of frequency aberration, power quality and instability to the system. This occurs when the load frequency control of interconnected system is unable to compensate the power balance between generation and load demand. To overcome these issues, this paper proposes a method to analyze the frequency stability of Hybrid Power System (HPS) through adaptive intelligent control techniques for delivering reliable power supply under the stochastic nature of RE and load demand. A recently developed physics-inspired Atom Search Optimization algorithm was applied for tuning the parameters of Fractional Order Proportional-Integral-Derivative controller for Automatic Load Frequency control of HPS. In addition, an effort was made to analyze the frequency stability of HPS using Matignon's theorem. The interconnected HPS consists of reheat thermal power system, RE sources such as wind and solar thermal power generation associated with energy storage devices namely aqua electrolyzer, fuel cell and electric vehicle. The gain and fractional terms of the controller were obtained by minimizing the Integral Time Absolute Error of interconnected system. The robustness of ASO-tuned FOPID controller is tested on two-area HPS that was modelled using MATLAB/Simulink. The results obtained were then compared with other fractional order and classical integer order controllers. From the simulation results, it is inferred that the proposed ASO-tuned FOPID controller gives superior transient and steady-state response compared with other controllers. Moreover, the self-adaptiveness and robustness of the controller was validated to account for the change in RE power generations and system parameters. Furthermore, the effectiveness of the method is proved by comparing its performance with the recent literature works. The real-time applicability of proffered controller is validated in hardware-in-the-loop simulation using Real Time Digital Simulator.

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Fractional order cascaded controller for AGC study in power system with PV and diesel generating units

Cited by 30 publications

References 11 publications

Closed-Loop Tuning of Cascade Controller for Load Frequency Control of Multi-Area Distributed Generation Resources Optimized by ASOS Algorithm

Closed-Loop Tuning of Cascade Controller for Load Frequency Control of Multi-Area Distributed Generation Resources Optimized by ASOS Algorithm

Novel application of Selfish Herd Optimisation based fractional order cascaded controllers for AGC study

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

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