Smoothing wind power fluctuations by fuzzy logic pitch angle controller

Chowdhury, M. A.; Hosseinzadeh, Nasser; Shen, Weixiang

doi:10.1016/j.renene.2011.07.034

Cited by 116 publications

(73 citation statements)

References 14 publications

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“…It significantly fluctuates and does not remain constant due to intermittent nature of wind speed. Some issues associated with wind power fluctuations are described as follows [16]:…”

Section: Introductionmentioning

confidence: 99%

Intermittent Smoothing Approaches for Wind Power Output: A Review

Jabir

Illias

Raza³

et al. 2017

Energies

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Abstract:Wind energy is one of the most common types of renewable energy resource. Due to its sustainability and environmental benefits, it is an emerging source for electric power generation. Rapid and random changes of wind speed makes it an irregular and inconsistent power source when connected to the grid, causing different technical problems in protection, power quality and generation dispatch control. Due to these problems, effective intermittent smoothing approaches for wind power output are crucially needed to minimize such problems. This paper reviews various intermittent smoothing approaches used in smoothing the output power fluctuations caused by wind energy. Problems associated with the inclusion of wind energy resources to grid are also briefly reviewed. From this review, it has been found that battery energy storage system is the most suitable and effective smoothing approach, provided that an effective control strategy is available for optimal utilization of battery energy system. This paper further demonstrates different control strategies built for battery energy storage system to obtain the smooth output wind power.

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“…It significantly fluctuates and does not remain constant due to intermittent nature of wind speed. Some issues associated with wind power fluctuations are described as follows [16]:…”

Section: Introductionmentioning

confidence: 99%

Intermittent Smoothing Approaches for Wind Power Output: A Review

Jabir

Illias

Raza³

et al. 2017

Energies

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show abstract

“…The FLC is purely depend on the prior knowledge of the system, thus a parameter variation affect the overall performance of the system. Moreover the information of wind speed is required in FLC which in turn increases the cost of the system [10].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

Tiwari¹,

Babu²

2017

IJISA

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Abstract-This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine. The proposed methodology uses Radial Basis Function Network (RBFN) and Feedforward based Back propagation network (BPN) algorithm to generate pitch angle. The performance of the proposed control technique is analyzed by comparing the results with Fuzzy Logic Control (FLC) and Proportional -Integral (PI) control techniques. The control techniques implemented is able to compensate the nonlinear characteristic of wind speed. The wind turbine is smoothly controlled to maintain the generator power and the mechanical torque to the rated value without any fluctuation during rapid variation in wind speed. The effectiveness of the proposed control strategy is verified using MATLAB/Simulink for 2-MW permanent magnet synchronous generator (PMSG) based wind energy conversion system.

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“…And the fluctuations of output power may lead to many instability problems in power system. Thus, it is of great importance to smooth output power as much as possible, while the efficiency is enhanced [5,6].…”

Section: Introductionmentioning

confidence: 99%