Analysis of moth flame optimization optimized cascade proportional‐integral‐proportional‐derivative controller with filter for automatic generation control system incorporating solar thermal power plant

Acharyulu, B. V. S.; Mohanty, Banaja; Hota, Prakash Kumar

doi:10.1002/oca.2582

Cited by 26 publications

(10 citation statements)

References 34 publications

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“…The fitness function in the RES integrated power system is designed to reduce frequency and tie-line power fluctuations that exists after a long time after the occurrence of disturbance in the system. Using this fitness function, oscillations in system settles faster in comparison to any other fitness function [28]. The system constraints are the minimum and maximum limits of controller gains.…”

Section: Problem Formulationmentioning

confidence: 99%

Frequency Regulation of Interconnected Power System Using Black Widow Optimization

Dahiya

Saha

2022

IEEE Access

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A frequency regulation of interconnected power system comprising thermal reheat system and photovoltaic panel systems is disclosed in this research article with Proportional Integral Derivative (PID) controller optimized using Black Widow Optimization Algorithm (BWOA) based on distinct feature of cannibalism of Black Widow Spiders (BWS). With rising demand for perfectly optimized power systems, a best optimal solution for controller gains besides merit of faster convergence and avoidance of trapping in local minimal are becoming key requirements for system engineers. In tune with these requirements, we have developed an optimized solution based on BWOA in the power system realm to minimize the fitness function which is Integral Time Absolute Error composing of frequency and tie-line power variations. Superiority of BWOA optimized controller in power system realm is established by comparing and analyzing its simulation results with some other known tuned controllers which uses different optimization algorithms namely firefly algorithm, genetic algorithm, whale optimization algorithm and modified whale optimization algorithm. Results in this paper lays out that BWOA optimized PID controller outperforms other reported controllers in terms of fitness function value, settling time, undershoot/overshoot of the incremental variations in frequency and tie-line power of the interconnected power system. Further, the potency and robustness of the proposed tuned controller are also proven by considering large variation in load demand, real-time constraints namely generation rate constraint and governor dead band in the system. Additionally, the sensitivity analysis of the optimized controlled system is performed to conclude that the proposed BWOA optimized PID controller optimized controller is insensitive to changes in system parameters and eliminates the necessity of resetting of controller parameters. The performance of the proposed control technique is also tested on two-area non-reheat thermal power system with non-linear constraints namely time delay, generation rate constraint and governor deadband.

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Section: Problem Formulationmentioning

confidence: 99%

Frequency Regulation of Interconnected Power System Using Black Widow Optimization

Dahiya

Saha

2022

IEEE Access

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“…Due to better outcomes, ITAE is extensively used in comparison to its counterparts. [76][77][78][79] However, the performance of the Multi-term FOPID controlled AVR system has been analyzed using ISE, ITSE, and IAE as fitness functions also. For an AVR system, various fitness functions may be mathematically expressed as:…”

Section: Designing Of the Proposed Multi-term Fopid Controllermentioning

confidence: 99%

“…In this article, ITAE is considered as the fitness function for various simulation studies. Due to better outcomes, ITAE is extensively used in comparison to its counterparts 76–79 . However, the performance of the Multi‐term FOPID controlled AVR system has been analyzed using ISE, ITSE, and IAE as fitness functions also.…”

Section: Designing Of the Proposed Multi‐term Fopid Controllermentioning

confidence: 99%

Rao algorithm based optimal Multi‐term FOPID controller for automatic voltage regulator system

Paliwal¹,

Srivastava²,

Pandit³

2022

Optim Control Appl Methods

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This article presents a novel application of an optimal Multi‐term Fractional‐Order PID (MFOPID) controller for improving the performance of the automatic voltage regulator (AVR) system. A recently developed Rao algorithm has been used to optimize the proposed Multi‐term FOPID controller. The effectiveness of the Rao algorithm tuned Multi‐term FOPID controller for the AVR system has been proved by performing transient response, robustness, and performance analyses. Statistical analysis of the proposed Multi‐term FOPID controlled AVR system has been carried out to explore the most effective performance index among ITAE, ITSE, ISE, and IAE. The external disturbance rejection capability of the Rao algorithm‐tuned MFOPID controller has been examined by injecting external disturbances into the AVR system of different capacities at different times. The superiority of the proposed Multi‐term FOPID controller is validated by comparing the simulation results with recently employed various PID, PID‐Acceleration (PIDA), and FOPID controllers tuned by different metaheuristic algorithms. In addition, the behavior of the proposed Multi‐term FOPID controller has been examined in a real synchronous generator that is connected to a 10,000 MVA, 230 kV electric power network via a 210 MVA transformer using a MATLAB/Simulink environment. From the various simulation results, it has been concluded that the proposed Rao algorithm tuned optimal and robust Multi‐term FOPID controller has significantly improved the performance, robustness and stability of the AVR system.

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“…Datta et al 13 presented a PI‐lead and lead‐lag controller for enhancement of the BESS performance and simultaneous regulation of the voltage and frequency. Acharyulu et al 14 proposed a robust optimal cascaded PI and proportional derivative (PD) controllers with filters to enhance the power quality of a solar thermal power plant.…”

Section: Introductionmentioning

confidence: 99%

Optimal decentralized control of a wind turbine and diesel generator system

Shojaee

Azizi

2021

Optim Control Appl Methods

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This article presents a decentralized optimal controller design technique for the frequency and power control of a coupled wind turbine and diesel generator. The decentralized controller consists of two proportional‐integral (PI)‐lead controllers which are designed and optimized simultaneously using a quasi‐Newton based optimization technique, namely, Davidon–Fletcher–Powell algorithm. The optimal PI‐lead controllers are designed in such a way that there are no communication links between them. Simulation results show the superior performance of the proposed controller with a lower order structure compared to the benchmark decentralized linear‐quadratic Gaussian integral controllers of orders 4 and 11. It is also shown that the proposed controller demonstrates an effective performance in damping the disturbances from load and wind power, as well as a robust performance against the parameter changes of the power system.

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Analysis of moth flame optimization optimized cascade proportional‐integral‐proportional‐derivative controller with filter for automatic generation control system incorporating solar thermal power plant

Cited by 26 publications

References 34 publications

Frequency Regulation of Interconnected Power System Using Black Widow Optimization

Frequency Regulation of Interconnected Power System Using Black Widow Optimization

Rao algorithm based optimal Multi‐term FOPID controller for automatic voltage regulator system

Optimal decentralized control of a wind turbine and diesel generator system

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