Abstract

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.

Highlights

  • In the low-carbon economy, significant attention has focused on wind power as a main source of renewable energy, with the potential to become a hotspot for global energy development in the future [1,2]

  • This paper presents a distributed control technique for voltage, frequency and active/reactive power control of the point of common connection (PCC), AC-grid of a wind farm

  • Input time delay influences the stable operation of offshore wind turbines

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Summary

Introduction

In the low-carbon economy, significant attention has focused on wind power as a main source of renewable energy, with the potential to become a hotspot for global energy development in the future [1,2]. The time delay control of the wind turbine cannot be ignored [14,15]. The novel decentralized sliding mode load frequency control (LFC) strategy is proposed for a multiple-area time delay power system with significant wind power penetration in [16]. In the paper [17], time delay is considered in command communication from control unit to motor driver in wind turbine, and an inertial supplementary scheme is proposed. The method based on the network predictive control (NPC) is proposed for coordinated design to improve damping, and compensate for the time delay in [18]. A new adaptive neural network controller is designed based on the traditional Lyapunov-Krasovski function, to obtain the stability criterion of nonlinear time delay system in [25]. There is some assumption adopted in the model analysis, and a suitable order of wind turbine model is necessary, to study the internal dynamics of the power converter

Hamiltonian Implementation of Doubly Fed Wind Turbine
Conceptions of Graph Theory
Controller Design for Doubly Fed Wind Turbine Groups with Input Time Delay
Controller Design for A Single-Machine System with Input Delay
Problem Description
Design of the Casimir Function
Controller Design of A Multi-machine System with Input Time Delay
Simulation Verification
Controller Design for a Single-Machine with Input Delay
Discussions
Findings
Conclusions
Full Text
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