Stability of Wind Turbine Switching Control in an Integrated Wind Turbine and Rechargeable Battery System: A Common Quadratic Lyapunov Function Approach

Author(s):  
Dushyant Palejiya ◽  
John Hall ◽  
Christine Mecklenborg ◽  
Dongmei Chen

The power generated by wind turbines varies due to variations in the wind speed. A pack of rechargeable batteries could be used as a reserve power source to alleviate the intermittency in the wind turbine power. An integrated wind turbine and battery storage system is constructed where the wind turbine is electrically connected to a rechargeable battery system. Such a system can operate in two modes depending on the wind speed, power demand, and battery limit. The switching conditions for the wind turbine to operate in multi-input, single-output and single-input, single-output control mode are discussed. Linearized approximations of the closed loop wind turbine system are derived in order to analyze the switching stability between control modes. Common quadratic Lyapunov function (CQLF) is established for both control modes to prove the system stability. Simulation results demonstrating system stability are also presented.

Author(s):  
Dushyant Palejiya ◽  
Dongmei Chen

Wind power intermittency due to wind speed variations can be alleviated by using a rechargeable battery as the reserve power source. In such an integrated wind turbine-battery system, wind turbine controller is frequently required to switch between two control modes. We have derived linearized approximations of the closed loop wind turbine system for both control modes after applying feedback control laws. Stability of this linearized switching system is established with the use of Common Quadratic Lyapunov Function (CQLF). Limitations on control gains and switching conditions required to achieve system stability are discussed. Simulations confirming the system stability are also presented.


Author(s):  
Hidehiko Nakajo ◽  
Taro Aoki ◽  
Takashi Murashima ◽  
Satoshi Tsukioka ◽  
Tadahiro Hyakudome ◽  
...  

A Deep Sea Cruising AUV “URASHIMA” has been developed by JAMSTEC since 1998. The dimensions and weight are 10m (L), 1.3m (W), 1.5m (H), and about 7.5 tons in air. A main power source device system of AUV “URASHIMA” is a large capacity of lithium-ion (Li-ion) rechargeable battery system or Solid Polymer Electrolyte Fuel Cell (PEFC) system. AUV “URASHIMA” will be able to cruise for about 100km with Li-ion battery system and it will cruise for about 300km with fuel cell system. The cruising trial used by the fuel cell system will start at the end of 2002. The instruments for science researches are an automatic multi-water-sampling system, a CTDO, a side-scan sonar, a digital still camera with a thermoelectrically cooled CCD image sensor, a TV camera, and so on. Three operation modes, which are UROV mode, acoustic remote control mode and autonomous mode, are available. Those three kinds of modes are used acceding to each development stage and ocean researches. UROV mode is to monitor the state of the vehicle with fiber optics. At the first development stage of AUV “URASHIMA”, we carried out long cruising trial for about 100km and maximum operational depth trial at 3,500m used by Li-ion rechargeable battery system. URASHIMA was succeeded to reach at 3,518m depth of the seafloor at the sea trial of August 2001. We also carried out long cruising trial that was controlled by autonomous mode. Then, URASHIMA was cruised 70km distance at the sea trial of December 2001. We will have a next sea trail on May 2002 for 100km long cruising test. At the next development stage, we will carried out long cruising trial for 300km used by the fuel cell system.


2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
A. Hamidi ◽  
J. Beiza ◽  
T. Abedinzadeh ◽  
A. Daghigh

Because of low losses and voltage drop, fast control of power, limitless connection distance, and isolation issues, using high-voltage direct-current (HVDC) transmission system is recommended to transfer power in the power systems, including wind farms. This paper aims to propose a supplementary damping controller (SDC) based on the HVDC to improve not only power system dynamic stability but also energy conversion efficiency and torsional vibration damping in the wind power plants (WPPs). When the WPPs are working in power control mode, the active power is set to its reference value, which is extracted from power-speed curve. This paper shows that torsional oscillations associated with the poorly torsional modes can be affected by different operating regions of the power-speed curve of WPP. Therefore, it is essential to employ an SDC to have the optimum energy conversion efficiency in the wind turbine and the most dynamic stability margin in the power system. The SDC is designed using a fractional-order PID controller (FOPID) based on the multiobjective bat-genetic algorithm (MOBGA). The simulation results show that the proposed control strategy effectively works in minimizing the torsional and electromechanical oscillations in power system and optimizing the energy conversion efficiency in the wind turbine.


2012 ◽  
Vol 463-464 ◽  
pp. 1715-1720
Author(s):  
Rui Ma ◽  
Shu Ju Hu ◽  
Xun Bo Fu ◽  
Hong Hua Xu ◽  
Nian Hong Li

Above rated wind speed, the wind turbine speed and output power are maintained near the rated values through the coordinative control of torque and pitch angle. Due to the non-linear behavior of the wind turbine, the traditional PID control is not effective in the pitch control. And accurate mathematical model of wind turbine is very difficult to get. In order to solve the problem, the fuzzy adaptive tuning PID control algorithm is proposed in the paper. About torque control strategy, constant torque control mode and constant power control mode are simulated respectively. Based on the analysis and comparison of the advantages and disadvantages of both modes, a mix control mode is proposed in order to give consideration to both torque and power. Simulation was carried out with the proposed torque control and pitch control strategy in MATLAB and GH Bladed software. The results proved that output power is optimized and the response of the wind turbine is good


Author(s):  
Sumer Chand Prasad

Doubly-fed induction generator wind turbines are largely developed due to their variable speed feature. The response of wind turbines to grid disturbance is an important issue, especially since the rated power of the wind turbine is increased; therefore, it is important to study the effect of grid disturbances on the wind turbine. In the chapter, the characteristics of the doubly-fed induction generator during wind speed fluctuation are studied. MATLAB/Simulink software has been used to observe the characteristics of wind turbines during wind speed fluctuation. Simulation results of the doubly-fed induction generator wind turbine system show improved system stability during wind speed variation. Power electronics converters used in the DFIG system are the most sensitive parts of the variable speed wind turbines with regards to system disturbances. To protect from excessive current, the DFIG system is equipped with an over-current and DC voltage overload protection system that trips the system under abnormal conditions.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wenbo Jiang ◽  
Mingyue Zhong

The actual operating state of the wind turbine group is influenced by the wake effect and control mode; however, the current models cannot describe the actual operating state very well. A dynamic equivalent modeling method for a doubly fed wind power generator is proposed on the basis of ensuring the accurate description of the wind turbine group. As the clustering index, dominant variables are used in the hierarchical clustering algorithm, which are extracted by principal component analysis. Three dynamic equivalent models of 24 wind turbines are established using PSCAD software platform, which use 13 state variables, wind speed, and dominant variables as clustering indexes, respectively. Furthermore, the active power and reactive power output curves of wind farm are simulated in the case of the three-phase short-circuit fault on the system side or wind speed fluctuation, respectively. The simulation results demonstrate that it is reasonable and effective to extract slip ratio and wind turbine torque as clustering index, and the maximal relative error between the dominant variable equivalent model and 13-state-variable model is only 9.9%, which is greatly lower than that of the wind speed model, K-means clustering model, neural network model, and support vector machine model. This model is easy to implement and has wider application prospect, especially for characteristics analysis of large-scale wind farm connected to power grid.


Author(s):  
S. G. Ignatiev ◽  
S. V. Kiseleva

Optimization of the autonomous wind-diesel plants composition and of their power for guaranteed energy supply, despite the long history of research, the diversity of approaches and methods, is an urgent problem. In this paper, a detailed analysis of the wind energy characteristics is proposed to shape an autonomous power system for a guaranteed power supply with predominance wind energy. The analysis was carried out on the basis of wind speed measurements in the south of the European part of Russia during 8 months at different heights with a discreteness of 10 minutes. As a result, we have obtained a sequence of average daily wind speeds and the sequences constructed by arbitrary variations in the distribution of average daily wind speeds in this interval. These sequences have been used to calculate energy balances in systems (wind turbines + diesel generator + consumer with constant and limited daily energy demand) and (wind turbines + diesel generator + consumer with constant and limited daily energy demand + energy storage). In order to maximize the use of wind energy, the wind turbine integrally for the period in question is assumed to produce the required amount of energy. For the generality of consideration, we have introduced the relative values of the required energy, relative energy produced by the wind turbine and the diesel generator and relative storage capacity by normalizing them to the swept area of the wind wheel. The paper shows the effect of the average wind speed over the period on the energy characteristics of the system (wind turbine + diesel generator + consumer). It was found that the wind turbine energy produced, wind turbine energy used by the consumer, fuel consumption, and fuel economy depend (close to cubic dependence) upon the specified average wind speed. It was found that, for the same system with a limited amount of required energy and high average wind speed over the period, the wind turbines with lower generator power and smaller wind wheel radius use wind energy more efficiently than the wind turbines with higher generator power and larger wind wheel radius at less average wind speed. For the system (wind turbine + diesel generator + energy storage + consumer) with increasing average speed for a given amount of energy required, which in general is covered by the energy production of wind turbines for the period, the maximum size capacity of the storage device decreases. With decreasing the energy storage capacity, the influence of the random nature of the change in wind speed decreases, and at some values of the relative capacity, it can be neglected.


Sign in / Sign up

Export Citation Format

Share Document