ADMM-based distributed optimal reactive power control for loss minimization of DFIG-based wind farms

Huang, Sheng; Li, Peiyao; Wu, Qiuwei; Li, Fangxing; Rong, Fei

doi:10.1016/j.ijepes.2020.105827

Cited by 28 publications

(17 citation statements)

References 26 publications

(26 reference statements)

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“…For balanced radial distribution networks, the relationship between the voltage and the power flows can be given by the nonlinear DistFlow equations [28]- [30]:…”

Section: Problem Formulation and Control Strategiesmentioning

confidence: 99%

A Distributed Algorithm for Controlling Continuous and Discrete Variables in a Radial Distribution Grid

Klemets

Degefa

2023

IEEE Access

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“…For balanced radial distribution networks, the relationship between the voltage and the power flows can be given by the nonlinear DistFlow equations [28]- [30]:…”

Section: Problem Formulation and Control Strategiesmentioning

confidence: 99%

A Distributed Algorithm for Controlling Continuous and Discrete Variables in a Radial Distribution Grid

Klemets

Degefa

2023

IEEE Access

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“…In (3), the GSC operates in the stator voltage-oriented control mode under the normal operation, and the q-axis voltage can be simplified to be zero. Based on (4), (5) and neglecting 𝑅 , the DC-link voltage is constrained as,…”

Section: Problem Formulation During Hvrtmentioning

confidence: 99%

MPC-based DC-link voltage control for enhanced high-voltage ride-through of offshore DFIG wind turbine

Wei

et al. 2021

International Journal of Electrical Power & Energy Systems

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“…Recently published work on reactive power optimization using the fast response capability of wind turbines implies that such control may contribute to the power converter lifecycle in IBRs [25]. In addition, in the optimal reactive power control scheme of [26], the consensus alternating direction method of multipliers (ADMM) is used to minimize losses of DFIG-based wind farms, and [27,28] consider an optimal reactive power dispatch strategy using artificial intelligence techniques to meet the control objective including minimization of power loss. As IBR has the ability to regulate reactive power, it is evaluated as economical to maximize the capability to provide the ancillary reactive power service.…”

Section: Introductionmentioning

confidence: 99%

Development of Reactive Power Allocation Method for Radial Structure Wind Farm Considering Multiple Connections

et al. 2022

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In recent years, the number of wind farms consisting of type 3 and type 4 wind turbines located within the distribution system has been growing rapidly. Wind turbines can be utilized as a continuous reactive power source to support the system voltage by taking advantage of their reactive power control capability. This paper aims to further develop the reactive power assignment strategy in order to minimize losses in wind farms described in the published paper. We introduce the method of reconfiguration and numbering to apply the algorithm to the wind farm structure and develop the previously-defined allocation ratio into two types of allocation ratios. The goal is to apply the loss minimization algorithm to a wind farm configuration with up to two wind turbines connected to one ring main unit (RMU). The proposed strategy reduces power loss and increases the real power flow in the wind farm by allocating reactive power to connected wind turbines taking into account the resistance value. The proposed allocation technique is validated in a Real Time Digital Simulator (RTDS)-based Hardware-in-the-loop Simulation (HILS) environment considering the Dongbok wind farm configuration in Jeju, South Korea. In the simulation, a Raspberry Pi acts as a wind farm controller sending a reactive power dispatch signal to each wind turbine via Modbus TCP/IP protocol. The simulation results mean that, applying the proposed algorithm, we can expect loss reduction effects in the wind farm.

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ADMM-based distributed optimal reactive power control for loss minimization of DFIG-based wind farms

Cited by 28 publications

References 26 publications

A Distributed Algorithm for Controlling Continuous and Discrete Variables in a Radial Distribution Grid

A Distributed Algorithm for Controlling Continuous and Discrete Variables in a Radial Distribution Grid

MPC-based DC-link voltage control for enhanced high-voltage ride-through of offshore DFIG wind turbine

Development of Reactive Power Allocation Method for Radial Structure Wind Farm Considering Multiple Connections

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