Performance Evaluation of GWO Algorithm Using Different Initialization Strategies

Dewangan, P. D.; Patnana, Naresh; Barik, Lalbihari; Krishna, P. J.; Meena, V. P.; Singh, V. P.

doi:10.1109/icaccs54159.2022.9785328

2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) 2022

DOI: 10.1109/icaccs54159.2022.9785328

|View full text |Cite

Performance Evaluation of GWO Algorithm Using Different Initialization Strategies

P. D. Dewangan

Naresh Patnana

Lalbihari Barik

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, metaheuristic-based tuning [39] is employed for optimizing the parameters of controllers because of its better performance characteristics than rule-based and model-based tuning methods. Genetic algorithm [26], [40] , bacteria foraging optimization [41] , gravitational search algorithm [42], [43] , grey wolf optimizer (GWO) [44]- [46] , whale optimization [23] , bat algorithm [47], [48] , firefly algorithm [49] , particle swarm optimization (PSO) [27], [50] , artificial bee colony [51], [52] , Jaya algorithm [53], [54] , and teachinglearning based optimization (TLBO) [55], [56] are some of the algorithms implemented to tune PID controllers for AGC.…”

mentioning

confidence: 99%

Rank Exponent Method Based Optimal Control of AGC for Two-Area Interconnected Power Systems

Mamta,

Singh,

Waghmare

et al. 2024

IEEE Access

Self Cite

View full text Add to dashboard Cite

Automatic generation control (AGC) is employed in power systems to maintain balance between generation and load by adjusting output of generators in real time. Controller continuously monitors system frequency and tie-line power flow by responding to fluctuations in electricity demand and supply and optimizes generator dispatch, reduces power imbalances, and enhances grid stability. This work proposes and solves the issues of the AGC in two-area interconnected power systems by proposing a new approach based on both Jaya algorithm and the rank exponent method. In particular, we design a proportional-integralderivative controller with derivative filtering (PIDm), where the effect of the noise is mitigated by the use of a filter with derivative gain. We propose to build the objective function, to tune the controller's parameters, as the linear combination of three sub-objectives, namely integral of time multiplied absolute error (ITAE) for frequency deviations, tie-line power deviation, and area-control errors (ACEs). The rank method is exploited to evaluate the weights of these sub-objectives, while the final overall objective function is minimized exploiting the Jaya algorithm. The proposed controller's performance is assessed in six different scenarios with load disturbances, and its effectiveness is compared to state-of-art controllers tuned using salp swarm algorithm (SSA), Nelder-Mead simplex (NMS), symbiotic organisms search (SOS), elephant herding optimization (EHO), and Luus-Jaakola (LJ) optimization algorithms. To illustrate the frequency and tie-line power changes, results are also shown, and a statistical study is finally carried out to evaluate the recommended controller's overall effectiveness. Additionally, Friedman rank test as no-parametric statistical analysis is also done in order to evaluate the significance level of optimization algorithms. Our numerical findings evidence that the proposed PIDm controller outperforms other existing optimizationbased controllers in terms of performance and utility, thus proving to be very effective for handling AGC issues in two-are interconnected power systems.INDEX TERMS Rank exponent method, AGC, Jaya optimization, Interconnected power system. I. INTRODUCTIONI N power system, load demand is constantly varying.To meet out the increasing demand for power, singlearea power systems are less reliable. Reliability is the main concern in operation of a power system. To ensure the reliability of power system, distinct areas' generators are interconnected via tie-lines. This type of interconnection is known as interconnected power system (IPS) [1]. In IPS, it is essential to operate all generators at the same frequency in a synchronized manner. The frequency of IPS will deviate VOLUME X, XXXX

show abstract

mentioning

confidence: 99%

Rank Exponent Method Based Optimal Control of AGC for Two-Area Interconnected Power Systems

Mamta,

Singh,

Waghmare

et al. 2024

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Performance Evaluation of GWO Algorithm Using Different Initialization Strategies

Cited by 1 publication

References 15 publications

Rank Exponent Method Based Optimal Control of AGC for Two-Area Interconnected Power Systems

Rank Exponent Method Based Optimal Control of AGC for Two-Area Interconnected Power Systems

Contact Info

Product

Resources

About