A hybrid modified grey wolf optimization‐sine cosine algorithm‐based power system stabilizer parameter tuning in a multimachine power system

Devarapalli, Ramesh; Bhattacharyya, B.

doi:10.1002/oca.2591

Cited by 60 publications

(31 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SC-GWO was also used to determine the optimal setting for over-current relays. Another similar work was done by Devarapalli and Bhattacharyya (2020), in which MGWO-SCA was proposed for tuning the power system stabilizer parameters of an interconnected multi-machine power system. The effectiveness of MGWO-SCA was evaluated based on benchmark model of two area four generator multi-machine system.…”

Section: Hybridization With Grey Wolf Optimizermentioning

confidence: 98%

A comprehensive survey of sine cosine algorithm: variants and applications

et al. 2021

View full text Add to dashboard Cite

Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.

show abstract

Section: Hybridization With Grey Wolf Optimizermentioning

confidence: 98%

A comprehensive survey of sine cosine algorithm: variants and applications

et al. 2021

View full text Add to dashboard Cite

show abstract

“…where s = No. of system state variables, limiting values of decrement ratio (σ 0 ) and damping factor (ξ 0 ) are considered as -3 and 0.3, respectively [38]. The common features of (13), and ( 14) can be achieved with the objective function framed as given in (15).…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

Power and energy system oscillation damping using multi-verse optimization

Devarapalli

Bhattacharyya

2021

SN Appl. Sci.

Self Cite

View full text Add to dashboard Cite

Power system oscillations are the primary threat to the stability of a modern power system which is interconnected and operates near to their transient and steady-state stability limits. Power system stabilizer (PSS) is the traditional controller to damp such oscillations, and flexible AC transmission system (FACTS) devices are advised for the improved damping performance. This paper suggests a technique for controller parameters tuning of PSS and a shunt connected FACTS device to be operated in coordination. A static synchronous compensator (STATCOM) connected in a two-machine system is considered as a test power system for the system studies. A recent meta-heuristic algorithm, Multi-Verse optimizer (MVO) has been suggested and compared with the other state-of-the-art algorithms. Improvement in system damping has been achieved by minimizing the oscillating nature of the system states by framing the objective function as a function of damping ratio and location of poles of the system. The Phillips-Heffron model of the test system has been designed by considering the system dynamics. The coordinated system behavior under the perturbation in system parameters has been observed satisfactory with the tuned controller parameters obtained from the suggested algorithm.

show abstract

“…Practically, damping ratios more than 0.3 and eigenvalues left side of -3 are reasonable values to damp out the low-frequency oscillations. As the second term in the equation 21 is much lesser compared to the first term, the weightage factor α is chosen as 1000 [9].…”

Section: 3mentioning

confidence: 99%

A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM

Devarapalli¹,

Bhattacharyya²

2021

NACO

Self Cite

View full text Add to dashboard Cite

The assimilation of flexible AC transmission (FACTS) controllers to the existing power network outweigh the numerous alternatives in enhancing the damping behavior for the inter-area /intra-area system oscillations of a power network. This paper provides a rigorous analysis in damping of oscillations in a power network. It utilizes a shunt connected voltage source converter (VSC) based FACTS device to enhance the system operating characteristics. A comprehensive system mathematical modelling has been developed for demonstrating the system behavior under different loading conditions. A novel hybrid augmented grey wolf optimization-particle swarm optimization (AGWO-PSO) is proposed for the coordinated design of controllers static synchronous compensator (STATCOM) and power system stabilizers (PSSs). A multi-objective function, comprising damping ratio improvement and drifting the real part to the left-hand side of S-plane of the system poles, has been developed to achieve the objective and the effectiveness of the proposed algorithms have been analyzed by monitoring the system performance under different loading conditions. Eigenvalue analysis and damping nature of the system states under perturbation have been presented for the proposed algorithms under different loading conditions, and the performance evaluation of the proposed algorithms have been done by means of time of execution and the convergence characteristics.

show abstract

A hybrid modified grey wolf optimization‐sine cosine algorithm‐based power system stabilizer parameter tuning in a multimachine power system

Cited by 60 publications

References 41 publications

A comprehensive survey of sine cosine algorithm: variants and applications

A comprehensive survey of sine cosine algorithm: variants and applications

Power and energy system oscillation damping using multi-verse optimization

A novel hybrid AGWO-PSO algorithm in mitigation of power network oscillations with STATCOM

Contact Info

Product

Resources

About