A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator

Reddy, Kumeshan; Saha, Akshay Kumar

doi:10.1016/j.heliyon.2022.e10956

Cited by 13 publications

(7 citation statements)

References 140 publications

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“…Several different circumstances include the use of metaheuristic optimization methods (MOT). Reviews of MOT were written by Kumeshan, R., & Saha, A. K. (2022) [36]. The simplicity and stochastic character of MOT are well recognized, and they have been effectively used to handle challenging engineering problems.…”

Section: Related Workmentioning

confidence: 99%

Control Strategies of DFIG Technology-based Variable-Speed Wind Turbines-A Review

Giri,

Mishra,

Patra

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This review paper examines the advancements and limitations of wind energy technology, while concentrating on the utilization of Doubly Fed Induction Generators (DFIG) to capture maximum power in variable speed winds. The paper evaluates the efficacy of several control strategies for DFIG relying on WT (wind turbines), on the basis of their simulation results, key features, and control objectives. The paper highlights the potential areas for investigation to improvise the performance as well as efficiency of wind energy generation.

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Section: Related Workmentioning

confidence: 99%

Control Strategies of DFIG Technology-based Variable-Speed Wind Turbines-A Review

Giri,

Mishra,

Patra

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Second, the MCS algorithm uses a value of f l differently depending on the distance between crow i and crow j, where f l is defined as Equation (6). Here, f l thr and D thr are initially set parameters, and D i,j is the distance vector of crow i and crow j.…”

Section: Modified Cs Algorithmmentioning

confidence: 99%

“…Figure 1 classifies the metaheuristic algorithms based on the natural phenomena that they emulate. Metaheuristic algorithms can be classified into four main categories: evolutionary, swarm, physic, and human behavior [3][4][5][6][7]. Evolution-based algorithms are based on the genetic characteristics and evolutionary methods of nature, and representative algorithms include ES, evolutionary programming (EP), genetic algorithm (GA), genetic programming (GP), and differential evolution (DE).…”

Section: Introductionmentioning

confidence: 99%

An Advanced Crow Search Algorithm for Solving Global Optimization Problem

et al. 2023

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The conventional crow search (CS) algorithm is a swarm-based metaheuristic algorithm that has fewer parameters, is easy to apply to problems, and is utilized in various fields. However, it has a disadvantage, as it is easy for it to fall into local minima by relying mainly on exploitation to find approximations. Therefore, in this paper, we propose the advanced crow search (ACS) algorithm, which improves the conventional CS algorithm and solves the global optimization problem. The ACS algorithm has three differences from the conventional CS algorithm. First, we propose using dynamic AP (awareness probability) to perform exploration of the global region for the selection of the initial population. Second, we improved the exploitation performance by introducing a formula that probabilistically selects the best crows instead of randomly selecting them. Third, we improved the exploration phase by adding an equation for local search. The ACS algorithm proposed in this paper has improved exploitation and exploration performance over other metaheuristic algorithms in both unimodal and multimodal benchmark functions, and it found the most optimal solutions in five engineering problems.

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“…In the earliest periods of wind energy generation development, the industry was dominated by fixed-speed wind generators (FSWGs) fitted with a squirrel cage induction generator (SCIG) [11][12][13][14]. By now, new and improved wind turbine (WT) technologies have appeared, like the doubly fed induction generator (DFIG) [15][16][17] and the permanent magnet synchronous generator (PMSG) [18][19][20]. In spite of this, the SCIG remains a determining factor in the global wind farm (WF) [21].…”

Section: Introductionmentioning

confidence: 99%

Integration of Wind Systems with SVC and STATCOM during Various Events to Achieve FRT Capability and Voltage Stability: Towards the Reliability of Modern Power Systems

Mahmoud

Salama

Bajaj

et al. 2023

International Journal of Energy Research

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FACTS tools in modern power systems provide a vital solution to the problems of voltage deviation and fault ride-through (FRT) capability in electrical power systems especially during the integration of wind power. Many distinct journals highlight that the wind-driven squirrel cage generator (SCIG) still accounts for around 15% of operating wind generators so far. To enhance voltage stability and FRT capacity, this paper recommends a cost-effective static VAR compensator (SVC) which has a size rating of six MVAR, and this improves the efficiency of the electrical power system. Different events are considered in this study such as high turbulent wind speed, low turbulent wind speed, unsymmetrical faults, and symmetrical faults to validate the suggested option. Moreover, the suggested solution is compared with the static synchronous compensator (STATCOM) and a fixed capacitor to ensure that during the studied wind speed profiles and faults, voltage stability, reactive power consumption, and FRT capability are realized. An overall comparison among them is performed under all studied scenarios to summarize their benefits and impacts. The simulated results show the effectiveness and superiority of SVC in improving the operation of an integrated wind system based on a grid-linked SCIG and the performance of the power system. The modeling of SCIG, SVC, and STATCOM is designed by MATLAB/Simulink toolbox.

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A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator

Cited by 13 publications

References 140 publications

Control Strategies of DFIG Technology-based Variable-Speed Wind Turbines-A Review

Control Strategies of DFIG Technology-based Variable-Speed Wind Turbines-A Review

An Advanced Crow Search Algorithm for Solving Global Optimization Problem

Integration of Wind Systems with SVC and STATCOM during Various Events to Achieve FRT Capability and Voltage Stability: Towards the Reliability of Modern Power Systems

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