Distributed Coordinated Control of Offshore Doubly Fed Wind Turbine Groups Based on the Hamiltonian Energy Method

Wang, Bing; Wu, Qiuxuan; Tian, Min; Hu, Qingyi

doi:10.3390/su9081448

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…When the system maintains operational stability, the active power output of the wind turbine is equal to its input mechanical power [40]. Therefore, under the distributed control strategy designed through the Casimir function, the wind turbines with input time delays in a certain range can coordinate with each other to ensure the whole closed-loop system maintains operational stability in terms of the output.…”

Section: Controller Design Of a Multi-machine System With Input Time mentioning

confidence: 99%

A Distributed Cooperative Control Strategy of Offshore Wind Turbine Groups with Input Time Delay

et al. 2020

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With large-scale development of offshore wind power and the increasing scale of power grid interconnection, more and more attention has been drawn to the stable operation of wind power units. When the wide area measurement system (WAMS) is applied to the power system, the time delay mainly occurs in the signal measurement and transmission of the power system. When 10MW wind turbines transmit information through complex communication network, time delay often exists, which leads to the degradation of performance and instability for system. This affects the normal operation of a wind farm. Therefore, in this paper, the distributed control problem of doubly fed wind turbines with input time delay is studied based on the Hamiltonian energy theory. Firstly, the Port-controlled Hamiltonian system with Dissipation (PCH-D) model is implemented with the Hamiltonian energy method. Then, the Casimir function is introduced into the PCH-D model of the single wind turbine system to stabilize the time delay. The wind turbine group is regarded as one network and the distributed control strategy is designed, so that the whole wind turbine cluster can remain stable given a time delay occurring in the range of 30-300 ms. Finally, simulation results show that the output power of the wind turbine cluster with input delay converges to the expected value rapidly and remains stable. Additionally, the system error caused by time delay is greatly reduced. This control method can effectively solve the problem of input time delay and improve the stability of the wind turbine cluster. Moreover, the method proposed in this paper can adopt the conventional time step of dynamic simulation, which is more efficient in calculation. This method has adaptability in transient stability analysis of large-scale power system, however, the third-order mathematical model used in this paper cannot be used to analyze the internal dynamics of the whole power converter.

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Section: Controller Design Of a Multi-machine System With Input Time mentioning

confidence: 99%

A Distributed Cooperative Control Strategy of Offshore Wind Turbine Groups with Input Time Delay

et al. 2020

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“…as the Hamiltonian energy function of the system, it is known that the one-cluster systems are globally stable in the network topology formed by the remaining follower units in System (13), which contains a directed spanning tree; not only is the output of each unit consistent, but also the active power output is stable and consistent (refer to Reference [28] for details). In summary, the units in the wind farm are divided into leader units and follower units based on the PCH-D model of the system.…”

Section: Analysis Of the Control Strategy Under Fault Conditionsmentioning

confidence: 99%

Distributed Control Strategy of the Leader-Follower for Offshore Wind Farms under Fault Conditions

et al. 2019

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Because of the complexity and severity of the marine environment, the probability of failure of offshore wind farms is much higher than that of onshore wind farms. The original control might fail under a single-machine and the network communication faults of wind turbines. In this study, centralized control is replaced with distributed control, the leader-follower distributed control strategy under two types of fault conditions is proposed to reduce the adverse effect of failure on the system and improve the tolerance of the system. First, the single-machine system is expanded into a wind turbine cluster system model based on Hamiltonian energy theory. Then, a leader-follower distributed control strategy is proposed to ensure the stable operation of wind turbines under a single-machine fault of the leader or follower unit. Next, considering communication failure, the leader-follower control strategy in the weakly connected topology is designed to make the system and the active power output stable. Finally, the simulation results confirm that the leader-follower control strategy system can enhance the stability and reliability of the system in the case of a unit shut down and network communication faults.

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“…In the literature [1][2][3][4][5][6][7][8][9][10][11][12], the operation of the wind turbine (WT) in the maximum energy area is studied at a constant wind speed; using various mathematical models, data from the manufacturing company and/or obtained in laboratory conditions, which are quite different from those in real conditions operation [13][14][15]. For this reason, the electrical energy obtained is less than the maximum value that was obtained in a maximum power point (MPP) operation, at optimum mechanical angular velocity (MAV), ω OPTIM .…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Wind System Operation in the Optimal Energetic Area at Variable Wind Speed over Time

et al. 2019

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Due to high mechanical inertia and rapid variations in wind speed over time, at variable wind speeds, the problem of operation in the optimal energetic area becomes complex and in due time it is not always solvable. No work has been found that analyzes the energy-optimal operation of a wind system operating at variable wind speeds over time and that considers the variation of the wind speed over time. In this paper, we take into account the evolution of wind speed over time and its measurement with a low-power turbine, which operates with no load at the mechanical angular velocity ωMAX. The optimal velocity is calculated. The energy that is captured by the wind turbine significantly depends on the mechanical angular velocity. In order to perform a function in the maximum power point (MPP) power point area, the load on the electric generator is changed, and the optimum mechanical velocity is estimated, ωOPTIM, knowing that the ratio ωOPTIM/ωMAX does not depend on the time variation of the wind speed.

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Distributed Coordinated Control of Offshore Doubly Fed Wind Turbine Groups Based on the Hamiltonian Energy Method

Cited by 4 publications

References 22 publications

A Distributed Cooperative Control Strategy of Offshore Wind Turbine Groups with Input Time Delay

A Distributed Cooperative Control Strategy of Offshore Wind Turbine Groups with Input Time Delay

Distributed Control Strategy of the Leader-Follower for Offshore Wind Farms under Fault Conditions

Analysis of the Wind System Operation in the Optimal Energetic Area at Variable Wind Speed over Time

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