Tuning and Assessment of Proportional–Integral–Derivative Controller for an Automatic Voltage Regulator System Employing Local Unimodal Sampling Algorithm

Mohanty, Pradeep Kumar; Sahu, Binod Kumar; Panda, Sidhartha

doi:10.1080/15325008.2014.903546

Cited by 99 publications

(78 citation statements)

References 19 publications

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“…give optimal/near optimal solution and are not preferred if the problem is be optimized has less dimension with small number of fitness evaluation or huge dimension with numerous fitness evaluation [19,20]. To overcome such difficulty, optimization algorithms like Many Optimizing Liaisons (MOL) [26] and Local Unimodal Sampling [19] are preferred. LUS algorithm is the extension of the PS algorithm and it was introduced in 2008 by Pedersen [21].…”

Section: Lus-tlbo Optimization Techniquementioning

confidence: 98%

“…The Local Unimodal Sampling (LUS) [19,21] optimization algorithm is a simple and robust algorithm and therefore it can be applied to solve a variety of optimization problems. It starts with a candidate solution and then iteratively moves to a neighbor solution.…”

Section: Local Unimodal Sampling (Lus) Algorithmmentioning

confidence: 99%

“…It is the hybridization of a local search algorithm (LUS) [19][20][21] and a global search algorithm (TLBO) [22][23][24]. Any local search algorithm can beautifully exploit the search in local area but are not helpful in exploring over wider area.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system

Sahu

Pati

Nayak

et al. 2016

International Journal of Electrical Power & Energy Systems

183

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Section: Lus-tlbo Optimization Techniquementioning

confidence: 98%

Section: Local Unimodal Sampling (Lus) Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system

Sahu

Pati

Nayak

et al. 2016

International Journal of Electrical Power & Energy Systems

183

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“…These methods include using the PID controller in AVR, using the genetic algorithm and fuzzy logic approach to tuning AVR, adjusting the coe cients of the excitation system for achieving better response, etc. [15][16][17].…”

Section: Controller Responsementioning

confidence: 99%

“…Di erent methods can be used to enhance transient stability of the system. These methods include excitation system response improving methods [10][11][12][13][14][15][16][17][18][19][20], active power rescheduling [2][3][4][5][6][7][8], and FACTS devices installation [24][25][26]. Performances of the improving methods and active power rescheduling are compared in this paper.…”

Section: Fault Critical Clearing Timementioning

confidence: 99%

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Khandani

Foroud

2017

Scientia Iranica

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Maintaining network stability and encouraging generation companies to get involved in stability-maintaining objective are major concerns of an Independent System Operator (ISO) in a deregulated power system. Excitation system of synchronous generators is e ective and well-known equipment, which has a signi cant e ect on network stability. Therefore, improving performance of this system can enhance network stability. However, utilizing the methods that improve the performance of excitation system imposes cost on generation companies. This paper proposes a motivation mechanism for enhancing transient stability that encourages generation companies to improve performance of excitation system. In this mechanism, besides excitation system response improving methods, a transient stability constrained optimal power ow is solved in order to ensure maintaining transient stability under di erent contingencies. A 4-bus test system, an IEEE 14-bus test system, and an IEEE 118-bus test system are used to illustrate the e ectiveness of the proposed mechanism. Implementation results show that the proposed mechanism not only provides required transient stability margin with minimum operation cost, but also does not restrict generators production capability.

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Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Paliwal

Srivastava

Pandit

2021

Int Trans Electr Energ Syst

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Summary This paper presents a novel fractional‐order PID plus derivative with filter coefficient (FOPID‐DN) controller for automatic voltage regulator (AVR) system using the MATLAB/Simulink environment. An AVR system is employed in the power system to maintain the terminal voltage at the desired level. Parameters of the proposed FOPID‐DN controller are optimally tuned by the recently developed Equilibrium Optimizer (EO) algorithm. Performance of the designed FOPID‐DN controller for an AVR system is compared with various controllers which are optimally tuned by different optimization algorithms. Comparative transient response analysis of the proposed technique has been carried out by considering vital transient response indicators like maximum overshoot, rise time, and settling time. Performance analysis of the proposed technique for an AVR system has been done by considering several input conditions. Robustness analysis of the EO algorithm tuned FOPID‐DN controller has been performed by varying the time constants of different components in an AVR system. The capability of the FOPID‐DN controller to handle nonlinearities of an AVR system has been investigated. The stability of the FOPID‐DN controlled AVR system has been analyzed. In addition, the disturbance rejection capability of the FOPID‐DN controlled AVR system has also been investigated. From the various simulation results obtained using the MATLAB/Simulink environment, it has been observed that the proposed FOPID‐DN‐based AVR system provided better performance as compared to different existing controllers.

show abstract

Tuning and Assessment of Proportional–Integral–Derivative Controller for an Automatic Voltage Regulator System Employing Local Unimodal Sampling Algorithm

Cited by 99 publications

References 19 publications

A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system

A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

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