Frequency coordinated control strategy of HVDC sending system with wind power based on situation awareness

Ai, Qing; Liu, Tianqi; Yin, Yitong; Yan, Tie

doi:10.1049/iet-gtd.2020.0204

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…Equation (29) ensures that the primary reserves of the online units are released before the frequency nadir time [11,12], so as to avoid triggering the OFGS relays. Equation (30) enforces emergency GS limits as described by Equations ( 2), ( 4), (6).…”

Section: Sending-and Receiving-end Tso's Fopf Problemsmentioning

confidence: 99%

“…Under such circumstance, the huge power imbalance due to an HVDC trip‐off might lead to a high‐frequency instability in the sending end and a low‐frequency collapse in the receiving end, which would finally trigger the last resort protection relays, i.e. over‐frequency generation spillage (OFGS) in the sending end and under‐frequency load shedding (UFLS) in the receiving end [6]. Therefore, efficiently evaluating the maximum acceptable total transfer capability (TTC) of HVDC tie‐lines in asynchronous grids is urgently needed to ensure the economic operation of asynchronous grids and simultaneously guarantee the frequency stability of the sending and receiving ends.…”

Section: Introductionmentioning

confidence: 99%

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Total transfer capability assessment of HVDC tie‐lines in asynchronous grids

Deng

Wen

Jiang³

2021

IET Generation Trans & Dist

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This paper discusses how frequency-stable operational decision-making of asynchronous grids with intensive high-capacity HVDC tie-lines, can be achieved leveraging a novel total transfer capability (TTC) evaluation approach. This problem is formulated as a hierarchical optimization model with multiple decision-makers, in which the master problem is solved by the coordinator to determine the base case maximum acceptable transmission power of each HVDC tie-line, while the sending-and receiving-end grid's local TSO each autonomously solves a frequency constrained optimal power flow sub-problem. Coordinated fast and slow frequency arrest strategies are fully integrated into the TTC assessment framework, which not only ensure that last-resort protections are not triggered following the HVDC bi-pole block contingency, but also take advantage of the potential control capability of the sending-and receiving-end grids and would therefore increase the TTC of HVDC tie-lines. A decentralized algorithm based on accelerated analytical target cascading is developed to solve the formulated model. Case studies on a modified two-area RTS-96 system and a practical large-scale system demonstrate the effectiveness of the proposed approach.

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Section: Sending-and Receiving-end Tso's Fopf Problemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Total transfer capability assessment of HVDC tie‐lines in asynchronous grids

Deng

Wen

Jiang³

2021

IET Generation Trans & Dist

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“…However, there are some problems in wind power grid connection. The main reason is the random fluctuation and uncontrollability of wind power (Ai et al, 2020). It is difficult to predict the scale and change trend of wind power output in the future, which makes the power system operators unable to deal with the violent wind power fluctuations and make the decision-making response of dispatching control and power transaction quickly and accurately.…”

Section: Introductionmentioning

confidence: 99%

Wind power prediction based on wavelet denoising and improved slime mold algorithm optimized support vector machine

Lian

2021

Wind Engineering

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The accuracy of wind power prediction directly affects the operation cost of power grid and is the result of power grid supply and demand balance. Therefore, how to improve the prediction accuracy of wind power is very important. In order to improve the prediction accuracy of wind power, a prediction model based on wavelet denoising and improved slime mold algorithm optimized support vector machine is proposed. The wavelet denoising algorithm is used to denoise the wind power data, and then the support vector machine is used as the prediction model. Because the prediction results of support vector machine are greatly affected by model parameters, an improved slime mold optimization algorithm with random inertia weight mechanism is used to determine the best penalty factor and kernel function parameters in support vector machine model. The effectiveness of the proposed prediction model is verified by using two groups actually collected wind power data. Seven prediction models are selected as the comparison model. Through the comparison between the predicted value and the actual value, the prediction error and its histogram distribution, the performance indicators, the Pearson’s correlation coefficient, the DM test, box-plot distribution, the results show that the proposed prediction model has high prediction accuracy.

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“…Based on this, some papers have combined the frequency control methods of WF and HVDC systems in order to enable them to provide frequency support together. In [13], a nonlinear mathematical prediction model based on situation awareness was established, which can dynamically adjust the frequency-power (f-P) droop coefficients of HVDC and WF for cooperative frequency regulation. However, the performance of the cooperative frequency regulation is affected by the accuracy of the prediction model.…”

Section: Introductionmentioning

confidence: 99%

Frequency Coordinated Control Strategy for an HVDC Sending-End System with Wind Power Integration Based on Fuzzy Logic Control

et al. 2021

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Under the background of high wind power permeability, the frequency regulation capability of high voltage direct current (HVDC) sending-end system tends to deteriorate. For this reason, this paper regards the wind farm (WF) and HVDC as a combined frequency regulation system, and a fuzzy-based coordinated control strategy is proposed for the cooperation of HVDC and WF to participate in frequency regulation. First of all, at a system level, in order to realize the dynamic cooperation of the WF and the HVDC to participate in frequency regulation, two fuzzy logic controllers (FLCs) are designed to determine the total power support of the combined system and the participation coefficient of the WF in the frequency regulation according to the frequency characteristics of the sending-end system and the operation state of the WF, respectively. Secondly, at the WF level, considering the rotating kinetic energy and capacity of the wind turbines (WTs), a power allocation strategy is proposed to maximize the utilization of the frequency regulation capacity of the grid-connected WTs in WF. Finally, based on the fast power regulation of HVDC, an active secondary frequency drop (SFD) suppression strategy is proposed to avoid the possible SFD caused by the rotor speed recovery of WTs. The simulation results show that the proposed strategy can make full use of the frequency regulation ability of the WF and HVDC, and can effectively improve the frequency characteristics of the HVDC sending-end system.

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Frequency coordinated control strategy of HVDC sending system with wind power based on situation awareness

Cited by 14 publications

References 26 publications

Total transfer capability assessment of HVDC tie‐lines in asynchronous grids

Total transfer capability assessment of HVDC tie‐lines in asynchronous grids

Wind power prediction based on wavelet denoising and improved slime mold algorithm optimized support vector machine

Frequency Coordinated Control Strategy for an HVDC Sending-End System with Wind Power Integration Based on Fuzzy Logic Control

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