Stability Boundaries for Offshore Wind Park Distributed Voltage Control

Gryning, Mikkel Peter Sidoroff; Wu, Qiuwei; Kocewiak, Łukasz Hubert; Niemann, Hans Henrik; Blanke, Mogens

doi:10.1109/tcst.2016.2606889

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…However, due to local control properties, system coordination cannot be achieved, and thus optimal VVC objectives cannot be guaranteed. Moreover, if the parameters of the wind farm are not well estimated, reactive power oscillation and voltage flicker may be caused by the interaction of control loops [12].…”

Section: Introductionmentioning

confidence: 99%

Three‐stage robust voltage/var optimal control of wind farms at multiple time scales

Wang

Liao

Yang

et al. 2021

IET Renewable Power Gen

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In wind farms, the uncertainty of wind power and the incoordination of multiple time scales increase the difficulty of voltage/var control (VVC), and result in the reactive power output of VVC devices becoming unreasonable. This will decrease the power quality and even cause the voltage collapse of wind farms at large voltage deviations. For these problems, hierarchical control of VVC devices is a promising solution, as VVC devices can adjust the reactive power output in different control strategies. Therefore, this paper proposes a three‐stage robust voltage/var optimal control strategy for wind farms. The robust optimization model is introduced to solve the VVC problem caused by the uncertainty of wind power in this strategy. Besides, compared with traditional VVC strategies, the proposed strategy can coordinate different control stages and VVC devices at multiple time scales by combining centralized and local VVC strategies, which achieves voltage/var optimal control objectives. Simulation results demonstrate the good performance of the proposed strategy in mitigating system voltage violation rate and power loss of the wind farm.

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Section: Introductionmentioning

confidence: 99%

Three‐stage robust voltage/var optimal control of wind farms at multiple time scales

Wang

Liao

Yang

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

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“…In [12], high-level optimal reactive power control has been proposed assuming each DGs can regulate the injected power to the grid. In [13], the stability boundaries of a wind power plant including a STATCOM and controlled by PI controller as voltage controllers have been assessed with the aim to damp the low-frequency reactive power oscillations. An adaptive control method for a wind turbine has been proposed in [14] for reactive power compensation while guaranteeing performance and boundedness of the signals.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Distributed Reactive Power Sharing in Microgrids

Madani

Karimi

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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In this paper, reactive power sharing for Photovoltaic (PV) units in islanded microgrids has been formulated as a robust control design problem and is solved using convex optimization method. In addition to reactive power sharing, the disturbance rejection for voltage and active power have been formulated using infinity-norm constraints on the sensitivity functions and considered in the design. The proposed method uses only the measurement data of the power system with no need for a parametric model of the power grid equipment. The size of the problem is independent of the order of the plant which makes it applicable to power systems including a high number of buses and equipment such as synchronous generators, batteries and inverters. In the proposed method, the communication system can be considered in the control design process for centralized, distributed and decentralized structures. The proposed method has been validated through simulation of a microgrid encompassing synchronous generator, switching inverters and storage system. The results show that this method has successfully shared reactive power among different PV units while providing disturbance rejection for voltage and active power.

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