Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm

Chaib, Lakhdar; Choucha, Abdelghani; Arif, Salem

doi:10.1016/j.asej.2015.08.003

Cited by 124 publications

(64 citation statements)

References 28 publications

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“…The sole objective of these techniques is to either minimize cost and error or maximize profit or both for optimal design. There are many optimization techniques reported in the literature like Particle Swarm Algorithm (PSO) [2], Genetic Algorithm (GA) [4], Differential Evolution (DE) [3], Artificial Intelligence (AI) [7] etc. These can be either classical that are derived from complex mathematical calculations or heuristic that gives very accurate results in large problems.…”

Section: B Zeigler Nichols Methodsmentioning

confidence: 99%

“…Thus the conventional PID of the PSS is first tuned with a simple yet productive ZN tuning method The ZN technique is a self-tuning technique that is relatively easy, simple to use and is utilized primarily to provide the PID loops the best disturbance reduction performance [7]. However, it makes the loops oscillatory and give large overshoots.…”

Section: Application Of Flower Pollination Algorithm Formentioning

confidence: 99%

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Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Choudhury,

Rout,

Satpathy

et al. 2019

IJEAT

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With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods

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Section: B Zeigler Nichols Methodsmentioning

confidence: 99%

Section: Application Of Flower Pollination Algorithm Formentioning

confidence: 99%

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Choudhury,

Rout,

Satpathy

et al. 2019

IJEAT

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show abstract

“…The intended method is functioned based on switching regulation process followed by dual capacitor banks relies as classical tuning schemes [4]- [7]. System performance with BAT algorithm is high-quality [8][9][10].…”

Section: Figure1 Control Structure Of Proposed Facts Basedmentioning

confidence: 99%

A New Meta Heuristic Algorithm based FACTs SSFC Implementation for Power Quality Enrichment in Grid Inter connected system with Renewable Energy Sources

2019

IJITEE

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This paper projects A Most modern Meta Heuristic based BAT algorithm for enhancing Power Quality (PQ) furthermore to diminish the harmonic falsification using the Flexible AC Transmission (FACTs) based Static Switched Filter Compensator (SSFC) in the proposed Grid Interconnected System with Photo Voltaic (PV) and Wind Energy (WE) Sources. The uniqueness of the this system is enhancing the performance of the grid associated Renewable energy system such as soothe the voltage, diminish the power losses and lessen the harmonic distortion using the SSFC with a BAT algorithm in the Controller . Here, the proposed controller is in a job to optimize the control pulses of SSFC. To attain optimal function of the controller, errors are narrowed and generating the optimal control signals. SSFC with BAT algorithm controller takes part in improving Stability of the system along with Enriched power quality. MATLAB/Simulink platform is used for the Implementation part and its performance is adequate

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“…These algorithms require a minimum time to optimize the design parameters of any complex engineering problem when compared with the conventional optimization techniques. Simulated annealing, tabu search, genetic algorithm, PSO, ant‐directed hybrid differential evolution, bacteria foraging algorithm, honey‐bee colony algorithm, harmony search algorithm, cuckoo algorithm, chaotic–teaching‐learning methods, grey wolf algorithm, bat algorithm, water cycle algorithm, backtracking search algorithm, gradient‐based metaheuristic algorithm, whale optimization algorithm, gravitational search agorithm, and minimax polynomial approximation using PSO‐based PSS design techniques are developed by many researchers from the last few years. Though several methods are developed, optimal design of PSS for the highly nonlinear multi‐machine interconnected power system operating at different loading conditions is still essential for robust operation.…”

Section: Introductionmentioning

confidence: 99%

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

Butti¹,

Mangipudi²,

Rayapudi

2020

Int Trans Electr Energ Syst

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Summary An improved whale optimization algorithm (IWOA) for the design of a robust power system stabilizer (PSS) for the multi‐machine power system is developed in this paper. Tuning of PSS parameters using the proposed IWOA is carried out by minimizing a multi‐objective function comprising the damping ratio and damping factor of lightly damped oscillating modes of all the generators. The advantage of considering the objective function is that the lightly damped and undamped oscillating modes of all the generators can shift to a prespecified zone of the s‐plane. The performance of the proposed IWOA is tested on standard benchmark test functions and compared with familiar optimization algorithms. The efficacy of the proposed design technique is tested on three benchmark test systems: three‐generator nine‐bus system, two‐area four‐machine interconnected system, and the New England 10‐generator 39‐bus system working on various operating conditions under several typical disturbances. The potential of the proposed method is demonstrated through eigenvalue analysis. The proposed IWOA‐based PSS is compared with the other stabilizers to show its efficacy.

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Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm

Cited by 124 publications

References 28 publications

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

A New Meta Heuristic Algorithm based FACTs SSFC Implementation for Power Quality Enrichment in Grid Inter connected system with Renewable Energy Sources

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

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