A new concept in direct-driven vertical axis wind energy conversion system under real wind speed with robust stator power control

Roummani, Khayra; Messaoud, Hassani; Mazari, B.; Bendjebbar, Mokhtar; Koussa, Khaled; Ferroudji, Fateh; Neçaïbia, Ammar

doi:10.1016/j.renene.2019.04.156

Cited by 20 publications

(7 citation statements)

References 15 publications

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Section: Reactive Power Pricing Model For Synchronous Generatormentioning

confidence: 99%

“…Based on the synchronous motor mathematical model constructed in refs. [24,25], the P-Q characteristics diagram of the synchronous motor is shown in Figure 1, with the GBDF area marked as the operating region of the motor. Based on pricing principles, this operating area is divided into three distinct regions: In Region 1, the AEFG area in the diagram, it is observed that as the reactive power absorbed by the grid from the generating facilities increases, the maximum active power output correspondingly decreases.…”

Section: Reactive Power Pricing Model For Synchronous Generatormentioning

confidence: 99%

“…In Equations ( 24) and ( 25), X j and X g are two random numbers of the current generation; r is a scaling factor, a random number between [0, 1]. If the scaling factor exceeds the elimination probability, it is updated according to Equation (24).…”

Section: Reactive Power Optimization Based On Improved Chaotic Cuckoo...mentioning

confidence: 99%

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Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Xu,

Wang,

Chen

et al. 2024

Processes

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As the power market system gradually perfects, the increasingly fierce competition not only drives industry development but also brings new challenges. Reactive power optimization is crucial for maintaining stable power grid operation and improving energy efficiency. However, the implementation of plant–grid separation policies has kept optimization costs high, affecting the profit distribution between power generation companies and grid companies. Therefore, researching how to effectively reduce reactive power optimization costs, both technically and strategically, is not only vital for the economic operation of the power system but also key to balancing interests among all parties and promoting the healthy development of the power market. Initially, the study analyzes and compares the characteristic curves of synchronous generators and DFIGs, establishes a reactive power pricing model for generators, and considering the randomness and volatility of wind energy, establishes a DFIG reactive power pricing model. The objective functions aimed to minimize the cost of reactive power purchased by generators, the price of active power network losses, the total deviation of node voltages, and the depreciation costs of discrete variable actions, thereby establishing a dynamic reactive power optimization model for power systems including doubly-fed wind farms. By introducing Logistic chaotic mapping, the CSA is improved by using the highly stochastic characteristics of chaotic systems, which is known as the Chaotic Cuckooing Algorithm. Meanwhile, the basic cuckoo search algorithm was improved in terms of adaptive adjustment strategies and global convergence guidance strategies, resulting in an enhanced cuckoo search algorithm to solve the established dynamic reactive power optimization model, improving global search capability and convergence speed. Finally, using the IEEE 30-bus system as an example and applying the improved chaotic cuckoo search algorithm for solution, simulation results show that the proposed reactive power optimization model and method can reduce reactive power costs and the number of discrete device actions, demonstrating effectiveness and adaptability. When the improved chaotic cuckoo algorithm is applied to optimize the objective function, the optimization result is better than 7.26% compared to the standard cuckoo search algorithm, and it is also improved compared to both the PSO algorithm and the GWO algorithm.

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Section: Reactive Power Pricing Model For Synchronous Generatormentioning

confidence: 99%

Section: Reactive Power Pricing Model For Synchronous Generatormentioning

confidence: 99%

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Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Xu,

Wang,

Chen

et al. 2024

Processes

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“…H-rotor wind turbine is used in this works, in a vertical axis wind turbine system, three blades are usually fixed to a vertical shaft rotor, which turns a generator to convert wind energy into electricity [14]. The model of the power rotor is given by:…”

Section: Iii1 Wind Turbine Modelmentioning

confidence: 99%

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

Bakou

Saihi

Abid

et al. 2022

AJRESD

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This study aims to propose the direct field orientation control based on the H-infinity method (DFOC_ H∞) scheme for controlling the stator power (active/ reactive) of a direct drive vertical axis wind turbine power system based on a doubly fed induction generator (DFIG). the sensitivity to parameters uncertainty of the machine presents the major drawback of the PI controller, in order to cope with this problem; the H-infinity method was used to solve it. The proposed controller H∞ is evaluated with Matlab/Simulink. Simulation results showed that the suggested H∞ controller has a good performance in terms of enhancing the quality of energy provided to the power network. Even in the presence of DFIG parameter variation.

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“…Nevertheless, the aerodynamic performance of VAWTs is currently poorer than HAWTs [31][32][33][34]. Vertical axis wind turbines (VAWTs) have reappeared as promising energy conversion appliances due to a multiplicity of spic and span strategies that can advance as far as possible [35][36][37][38][39][40]. Also, the effect of different geometrical parameters and operational parameters on the aerodynamic performance of VAWTs should be extensively portrayed.…”

Section: Introductionmentioning

confidence: 99%

Pitch Control Mechanism in Various Type of Vertical Axis Wind Turbines: A Review

Rathore

Agrawal

Baredar

2021

J. Vib. Eng. Technol.

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Purpose Due to rising interest in wind energy harvesting offshore as well as in the urban environment, vertical axis wind turbines (VAWTs) have recently received renewed interest. Their omnidirectional ability makes them a very fascinating choice for use with the frequently varying wind directions. Therefore, the main concern is reducing vibration of the turbine blade as well as wind tower, self-starting at low wind speed, and stability issues at very high wind speed for VAWT. Methods In this paper presents a detailed overview of various pitch control configurations in VAWT to avoid vibration, self-starting problem w.r.t. wind speed. Conclusion Various research work carried out in this field has been studied critically and according to the number of blades choose effective pitch control mechanism to control the vibration and rotation speed of wind turbine.

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A new concept in direct-driven vertical axis wind energy conversion system under real wind speed with robust stator power control

Cited by 20 publications

References 15 publications

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Research on Dynamic Reactive Power Cost Optimization in Power Systems with DFIG Wind Farms

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

Pitch Control Mechanism in Various Type of Vertical Axis Wind Turbines: A Review

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