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Xiaoling Yuan

Bio: Xiaoling Yuan is an academic researcher from Hohai University. The author has contributed to research in topics: Turbine & Pitch control. The author has an hindex of 3, co-authored 6 publications receiving 35 citations.

Papers
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Proceedings ArticleDOI
08 Jun 2015
TL;DR: Simulation results for constant partial shading and rapid changing partial shading show that the proposed AIWPSO algorithm can avoid premature convergence effectively and has good global searching capability.
Abstract: This paper adopts an adaptive inertial weight particle swarm optimization (AIWPSO) algorithm to improve the maximum power point tracking (MPPT) capability for photovoltaic (PV) system under partial shading condition. Partial shading is a common phenomenon in PV generation system, it causes imbalance and decreases for output power of PV array. Under partial shading condition, output characteristics of PV system will change and the P-V characteristic curve contains more than one peak, which makes the conventional algorithm for MPPT is difficult to track the practical MPP. Particle swarm optimization (PSO) algorithm is often used in MPPT under partial shading condition, but PSO algorithm has the disadvantages of low convergence speed and search accuracy. In this paper, AIWPSO algorithm is proposed to solve these problems. In AIWPSO algorithm, a nonlinear dynamic inertia weight factor is introduced into the PSO evolution to improve global searching ability of PSO algorithm. Simulation results for constant partial shading and rapid changing partial shading show that the proposed algorithm can avoid premature convergence effectively and has good global searching capability.

19 citations

Journal ArticleDOI
TL;DR: In this article, the vibration reduction strategy of large-size pitch-controlled variable-speed wind turbine based on pitch control and torque control is presented, which can effectively alleviate the blade flap-wise vibration and drive train torsion vibration.
Abstract: Summary This paper presents the vibration reduction strategy of large-size pitch-controlled variable-speed wind turbine based on pitch control and torque control. First, the torque control below the rated operating area and the pitch control above rated operating area are presented, and the control method to reduce the coupling between torque control and pitch control is discussed. Then the vibration mechanism and the modal analysis of the main components (the blade, tower and drive train) of wind turbine are studied. In terms of alleviating the blade flap-wise vibration and drive train torsion vibration, the individual pitch control strategy and torque damping control strategy are proposed to reduce the fluctuations of blade flap-wise load and add damping to the drive train torsion vibration mode. Finally, simulations were conducted using the GH Bladed 1.5-MW wind turbine, and the results show that the proposed vibration reduction strategy can effectively alleviate the blade flap-wise vibration and drive train torsion vibration. Besides, because of the coupling relationship of blade/tower/drive train vibration modes, the proposed strategy can also mitigate the tower fore-aft and side-side vibration. Copyright © 2016 John Wiley & Sons, Ltd.

12 citations

Proceedings ArticleDOI
01 Jan 2015
TL;DR: In this paper, an individual pitch control strategy based on the pitch angle signal adjusted jointly by wind turbine output power and rotor azimuth angle is proposed to smooth blade load fluctuation, diminish aerodynamic torque ripple, reduce rotor fatigue damage, and prolong life time of wind turbine.
Abstract: Wind velocity distribution differences in wind wheel rotation plane caused by wind shear and tower shadow, not only causes load fluctuations of wind turbine blades, but also leads to pulsations of wind turbine aerodynamic torque and output power. In order to reduce the influence of wind shear and tower shadow on the fluctuations of three-bladed wind turbine, an individual pitch control strategy based on the pitch angle signal adjusted jointly by wind turbine output power and rotor azimuth angle is proposed. A band-pass filter is designed to filter out the three times pulsating component of the wind turbine output power, and a PID controller is used to obtain regulatory signal of pitch angle, which is then converted to tiny variable of each blade combining with the azimuth angle signal and superimposed to the reference pitch angle of the collective pitch control. Simulation results on GH Bladed platform show that the proposed individual pitch control strategy is effective to smooth blade load fluctuation, diminish aerodynamic torque ripple, reduce rotor fatigue damage, and prolong life time of wind turbine.

3 citations

Proceedings ArticleDOI
01 Jul 2017
TL;DR: A novel inertia control strategy of DFIG wind turbines, which is based on slip feedback controller with incomplete differential PD algorithm, is proposed, which can achieve better inertial response performance.
Abstract: The short-term frequency support will be provided through inertia control of doubly-fed induction generator (DFIG) wind turbines when grid frequency changes, so as to meet the grid frequency deviation requirements. In this paper, a novel inertia control strategy of DFIG wind turbines, which is based on slip feedback controller with incomplete differential PD algorithm, is proposed. Compared with the existing supplementary frequency differentiation inertia control and supplementary frequency proportion differentiation inertia control, the proposed control strategy can achieve better inertial response performance. A simulation model is built on to demonstrate the advantages of the proposed method, simulation result shows that the slip feedback inertia control strategy can more effectively restrain the grid frequency fluctuations with a smoother and shorter recovery process.

3 citations

Patent
09 Apr 2014
TL;DR: In this paper, a double-fed wind power plant adaptive reactive power compensation operation method was proposed to reduce the active loss of the wind turbine generators and simplify the power dispatch control system of a wind turbine generator.
Abstract: The invention provides a double-fed wind power plant adaptive reactive power compensation operation method. The method comprises the following steps: the step 1, the reactive power upper limit Qigmax of each wind turbine generator and the reactive power limit Qwfmax of the double-fed wind power plant are acquired; the step 2, the reactive power demand reference value Qdem of the double-fed wind power plant is calculated according to the grid-connected point voltage offset delta U%; the step 3, if the Qdem is less than or equal to the Qwfmax, then the number k of the wind turbine generator subjected to reactive power compensation according to the reactive power demand reference valueQdem, and the reactive power reference value of each wind turbine generator is acquired; the step 4, if the Qdem is greater than the Qwfmax, then the n wind turbine generators are subjected to reactive power compensation at the same time, and the reactive power reference value of each wind turbine generator is acquired; and the step 5, the reactive power reference value is distributed to the wind turbine generator stator side and network side converter respectively to perform reactive power compensation, and then the process returns to the step 1. Compared with the prior art, the double-fed wind power plant adaptive reactive power compensation operation method provided in the invention can be used to reduce the active loss of the wind turbine generators and simplify the power dispatch control system of the wind power plant so as to improve the operation efficiency of the wind power plant.

3 citations


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Journal ArticleDOI
TL;DR: A comprehensive review of the bio-inspired algorithms used for global maximum power point tracking and the modified and combined forms of these methods found to have better performance than original algorithms.
Abstract: Solar energy is one of the most promising renewable energy resource due to its variety of advantages. The photovoltaic systems have a remarkable development over the past few decades. As the maximum power point of the photovoltaic system varies with the change in environmental conditions, the maximum power point tracking technology is necessary to harvest maximum power from the photovoltaic systems. However, multiple peaks occur in the power-voltage (P-V) curve during partial shading conditions. In such condition, many traditional maximum power point tracking methods like perturbation and observation, and incremental conductance may become invalid due to involvement in the local maximum power point. Many advanced methods based on the artificial intelligence like artificial neural network, and fuzzy logic control can track the global maximum power point. However, they are not feasible in real complex environment because they need massive training and broader experience. Alternatively, bio-inspired maximum power point tracking algorithms deal properly with such situations. In recent years, researchers have widely applied bio-inspired algorithms to track the global maximum power point of photovoltaic system during partial shading situations. This paper presents a comprehensive review of the bio-inspired algorithms used for global maximum power point tracking. Various tracking methods are discussed and compared in terms of their characteristics and corresponding improved methods. It also presents the advantages and disadvantages of each method. The modified and combined forms of these methods found to have better performance than original algorithms. Overall, the performance of swarm intelligence based algorithms is found better than evolutionary algorithms. This review may help the researchers to acquire comprehensive information about the application of bio-inspired algorithms to gain maximum power from the photovoltaic systems, and furthermore, help them to choose an efficient way of global maximum power point tracking in photovoltaic systems during partial shading conditions.

127 citations

Journal ArticleDOI
TL;DR: In this article, a fuzzy logic proportional control (FL-P-C) approach has been recommended to mitigate the moment load on blades and tower to a minimum possible value while keeping the output power of WTs at a constant value.

59 citations

Journal ArticleDOI
09 Jan 2019-Energies
TL;DR: In this paper, the authors proposed a global maximum power point tracking method using shading detection and the trend of slopes from each section of the curve, which can enhance the total energy generated by 8.55% compared to the conventional scanning method.
Abstract: Photovoltaic (PV) technology has been the focus of interest due to its nonpolluting operation and good installation flexibility. Irradiation and temperature are the two main factors which impact the performance of the PV system. Accordingly, when partial shading from surroundings occurs, its incident shadow diminishes the irradiation and reduces the generated power. Since the conventional maximum power point tracking methods (MPPT) could not distinguish the global maximum power of the power-voltage (P-V) characteristic curve, a new tracking method needs to be developed. This paper proposes a global maximum power point tracking method using shading detection and the trend of slopes from each section of the curve. Full mathematical equations and algorithms are presented. Simulations based on real weather data were performed both in short-term and long-term studies. Moreover, this paper also presents the experiment using the DC-DC synchronous and interleaved boost converter. Results from the simulation show an accurate tracking result and the system can enhance the total energy generated by 8.55% compared to the conventional scanning method. Moreover, the experiment also confirms the success of the proposed tracking algorithm.

45 citations

Journal ArticleDOI
TL;DR: In this paper, a subset of ultimate limit state load cases proposed by the IEC 61400-3 standard is systematically analyzed, and the relative severity among the load cases to identify the most critical among them.

45 citations

Journal ArticleDOI
07 Mar 2019-Energies
TL;DR: In this article, the authors proposed a global maximum power point tracking method, including the shading detection and tracking algorithm, using the trend of slopes from each section of the curve, which is confirmed from the dynamic short-term testing and real weather data.
Abstract: Photovoltaic (PV) technology has been gaining an increasing amount of attention as a renewable energy source. Irradiation and temperature are the two main factors which impact on PV system performance. When partial shading from the surroundings occurs, its incident shadow diminishes the irradiation and reduces the generated power. Moreover, shading affects the pattern of the power–voltage (P–V) characteristic curve to contain more than one power peak, causing difficulties when developing maximum power point tracking. Consequently, shading leads to a hotspot in which spreading the hotspot widely on the PV panel’s surface increases the heat and causes damage to the panel. Since it is not possible to access the circuit inside the PV cells, indirect measurement and fault detection methods are needed to perform them. This paper proposes the global maximum power point tracking method, including the shading detection and tracking algorithm, using the trend of slopes from each section of the curve. The effectiveness was confirmed from the dynamic short-term testing and real weather data. The hotspot-detecting algorithm is also proposed from the analysis of different PV arrays’ configuration, which is approved by the simulation’s result. Each algorithm is presented using the full mathematical equations and flowcharts. Results from the simulation show the accurate tracking result along with the fast-tracking response. The simulation also confirms the success of the proposed hotspot-detection algorithm, confirmed by the graphical and numerical results.

27 citations