Optimal low voltage ride through of wind turbine doubly fed induction generator based on bonobo optimization algorithm

Mostafa, M.A.I.; El-Hay, Enas A.; Elkholy, Mahmoud M.

doi:10.1038/s41598-023-34240-6

Cited by 9 publications

(3 citation statements)

References 70 publications

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“…Chowdhury in [46] used nonlinear control theory to regulate both the RSC and GSC at same time to increase LVRT ability. Mostafa in reference [47] used Bonobo optimizer to obtain the optimal magnitudes of the inserted rotor voltage angle into the generator. These values are applied to get the maximum QP for assisting the system voltage throughout abnormal circumstances.…”

Section: Figure 1 Lvrt Code Requirementmentioning

confidence: 99%

RETRACTED: Enhancing the low-voltage ride-through capability of a wind turbine double- fed induction generator using ANFIS controller and a crowbar circuit

Abdelaal

2024

Preprint

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The focal target of this paper is to increase the LVRT of the DFIG driven by WT. This task is realized, firstly, by inserting a crowbar circuit (CB) into rotor circuit (RC), in case of voltage dip (VD), to guard it from high current and high voltage that could result from the transient flux produced by the VD. In case of no CB circuit, the system may be vulnerable to instability. Secondly, a proposed ANFIS controller is proposed to control both the rotor side converter (RSC) and the grid side converter (GSC). While the RSC controller regulates the electromagnetic torque, the GSC controller control both the real power (RP) and reactive power (QP) supplied to the system during normal operation conditions beside with it keeps the value of the dc link voltage (DCLV) fixed. To enhance the LVRT, the GSC is controlled such that it injects the necessary reactive power required during severe voltage dips to improve the LVRT competency of the DFIG. From the results, it is obvious that the hybrid ANFIS and CB circuit provides an improved LVRT response in challenging operating conditions.

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Section: Figure 1 Lvrt Code Requirementmentioning

confidence: 99%

RETRACTED: Enhancing the low-voltage ride-through capability of a wind turbine double- fed induction generator using ANFIS controller and a crowbar circuit

Abdelaal

2024

Preprint

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“…Under variable wind conditions, the GEO can gather the maximum wind power while improving LVRT [ 33]. M. Abdelateef Mostafa and others [34] Utilized The bonobo optimization method (BO), which was compared to two additional Techniques, PSO and the Driving train algorithm (DTA). The three optimization techniques produced remarkably similar findings.…”

Section: Literature Reviewmentioning

confidence: 99%

Mountain Gazelle Algorithm-Based Optimal Control Strategy for Improving LVRT Capability of Grid-Tied Wind Power Stations

Magdy,

Hasanien,

Sabry

et al. 2023

IEEE Access

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The large-scale wind energy conversion systems (WECS) based on a doubly fed induction generator (DFIG) have recently gained attention due to their numerous economic and technological advantages. However, the rapid integration of WECS with standing power networks severely influenced the system's reliability and stability; also, the DFIG rotor circuit experiences a substantial overcurrent due to grid voltage fluctuations. Indeed, these problems emphasize the significance of a DFIG's low-voltage ride-through (LVRT) capacity in maintaining the stability of the electrical grid during voltage fluctuations. To solve these challenges simultaneously, this research employs a metaheuristic optimization technique to regulate a doubly fed induction generator's (DFIG) operation via a wind turbine (WT) system. The article proposes a novel Mountain Gazelle Optimizer (MGO) to optimize the proportional-integral (PI) controller gains for the DFIG system's active and reactive power control to enhance the LVRT capability of Wind turbines linked to the power grid. In the proposed scheme, LVRT improvement is proportional to undershoot or overshoot, settlement time, and steady-state inaccuracy of voltage responses. The proposed control method is implemented in MATLAB by a detailed model of 9MW wind turbine, and its performance is validated and compared with traditional optimization control approaches. The suggested MGO method's efficacy is demonstrated by the assessment and comparison to classic optimization-based PI controllers under various fault scenarios. The simulation results show that the optimized control method improved performance in terms of three-phase terminal voltage output responses, active power, reactive power demand to networks, and DC-Link voltage.INDEX TERMS doubly fed induction generator, low-voltage ride-through capability, metaheuristic optimization, mountain gazelle optimizer, Wind energy conversion systems.

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“…This imperative emerges from the intricate interdependence between burgeoning renewable energy sources, notably wind turbines equipped with DFIG technology, and the established fabric of the power grid. Within this symbiotic relationship, a meticulous and rigorous focus on strategies for mitigating the potential ramifications of both symmetrical and asymmetrical short-circuit faults emerges as an irrefutable mandate 1 – 3 . Symmetrical faults (SFs), characterized by a balanced distribution of fault currents across the three phases, and asymmetrical faults (AFs), entailing uneven fault impedances among the phases, are formidable challenges that demand astute handling.…”

Section: Introductionmentioning

confidence: 99%

Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults

Sabzevari,

Khosravi,

Abdelghany

et al. 2023

Sci Rep

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The power grid faults study is crucial for maintaining grid reliability and stability. Understanding these faults enables rapid detection, prevention, and mitigation, ensuring uninterrupted electricity supply, safeguarding equipment, and preventing potential cascading failures, ultimately supporting the efficient functioning of modern society. This paper delves into the intricate challenge of ensuring the robust operation of wind turbines (WTs) in the face of fault conditions, a matter of substantial concern for power system experts. To navigate this challenge effectively, the implementation of symmetrical fault ride-through (SFRT) and asymmetrical fault ride-through (AFRT) control techniques becomes imperative, as these techniques play a pivotal role in upholding the stability and dependability of the power system during adverse scenarios. This study addresses this formidable challenge by introducing an innovative SFRT–AFRT control methodology based on rotor components optimization called RCO tailored for the rotor side converter (RSC) within a doubly-fed induction generator (DFIG) utilized in wind turbine systems. The proposed control strategy encompasses a two-fold approach: firstly, the attenuation of both positive and negative components is achieved through the strategic application of boundary constraints and the establishment of reference values. Subsequently, the optimization of the control characteristic ‘$$\beta$$ β ’ is accomplished through the utilization of a particle swarm optimization (PSO) algorithm integrated within an optimization loop. This intricate interplay of mechanisms aims to optimize the performance of the RSC under fault conditions. To measure the efficacy of the proposed control technique, a comparative analysis is conducted. Fractional-order (FO) proportional–integral–derivative (PID) controllers are employed as an additional method to complement the novel approach. By systematically juxtaposing the performance of the proposed SFRT–AFRT control technique with the FO-PID controllers, a comprehensive evaluation of the proposed approach's effectiveness is attained. This comparative assessment lends valuable insights into the potential advantages and limitations of the novel control technique, thereby contributing to the advancement of fault mitigation strategies in WT systems. Finally, the paper highlights the economic viability of the proposed control method, suggesting its suitability for addressing broader power network issues, such as power quality, in future wind farm research.

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Optimal low voltage ride through of wind turbine doubly fed induction generator based on bonobo optimization algorithm

Cited by 9 publications

References 70 publications

RETRACTED: Enhancing the low-voltage ride-through capability of a wind turbine double- fed induction generator using ANFIS controller and a crowbar circuit

RETRACTED: Enhancing the low-voltage ride-through capability of a wind turbine double- fed induction generator using ANFIS controller and a crowbar circuit

Mountain Gazelle Algorithm-Based Optimal Control Strategy for Improving LVRT Capability of Grid-Tied Wind Power Stations

Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults

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