A Robust Reserve Scheduling Method Considering Wind Turbine Generator’s De-loading Control

Zhang, Aijun; Li, Dandan; Xing, Huadong; Wang, Zhen; Si, Chaoran

doi:10.1109/apap47170.2019.9225195

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Therefore, the current security correction problem of system with UPFC still needs to adopt the model-based optimization method [13][14][15], that is, to use the mathematical analysis method to solve the optimization model and obtain corresponding adjustment measures. It has been established in [16] that a security correction model with the minimum adjustment amount and uses the distributed robust optimization method to handle the power system security correction control problem with the uncertainty of wind power output; It has also been revealed in [17] that an optimization model considering the series compensator with the minimum load removal as the objective function. But when applied to the actual large power grid, the increase of optimization variables will significantly decrease the optimization efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Data Driven Security Correction Method for Power Systems with UPFC

Li¹,

Zhang²,

Zhou³

et al. 2023

Energy Engineering

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The access of unified power flow controllers (UPFC) has changed the structure and operation mode of power grids all across the world, and it has brought severe challenges to the traditional real-time calculation of security correction based on traditional models. Considering the limitation of computational efficiency regarding complex, physical models, a data-driven power system security correction method with UPFC is, in this paper, proposed. Based on the complex mapping relationship between the operation state data and the security correction strategy, a two-stage deep neural network (DNN) learning framework is proposed, which divides the offline training task of security correction into two stages: in the first stage, the stacked auto-encoder (SAE) classification model is established, and the node correction state (0/1) output based on the fault information; in the second stage, the DNN learning model is established, and the correction amount of each action node is obtained based on the action nodes output in the previous stage. In this paper, the UPFC demonstration project of Nanjing West Ring Network is taken as a case study to validate the proposed method. The results show that the proposed method can fully meet the real-time security correction time requirements of power grids, and avoid the inherent defects of the traditional model method without an iterative solution and can also provide reasonable security correction strategies for N-1 and N-2 faults.

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Section: Introductionmentioning

confidence: 99%

A Data Driven Security Correction Method for Power Systems with UPFC

Li¹,

Zhang²,

Zhou³

et al. 2023

Energy Engineering

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show abstract

“…De-loading operation can be achieved by shifting the operating point below the MPP. Thus, converting a part of the available power from the wind to kinetic energy and storing it in the rotor [6], [7]. In this case, wind turbines can increase their output power following any frequency disturbance by converting the additional stored kinetic energy, whether partially or entirely to active power and sending it to the grid.…”

Section: Introductionmentioning

confidence: 99%

Optimal active power control of wind turbines in grid-forming mode

Melhem¹,

Liu²

2023

RE&PQJ

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Together with the daily variation of load demand in power grids, the continuous integration of offshore and onshore wind farms to feed the grid with green energy has recently led to a severe frequency stability issue due to the extra variation in the generation side. Hence, wind turbines (WTs), among other renewable energy units are required to regulate their output power to mitigate the fluctuation in generated power and support frequency stability. In this paper, model predictive control (MPC) is implemented in an adaptive way to operate WT in de-loading mode under wind disturbances. In addition, to get comprehensive operation of WTs and meet grid code requirements; we present a new grid-forming controller in the WT rotor side converter to emulate the inherent synchronizing and load sharing property of conventional generators. The limitations of rotor speed and rotor side converter are considered in the proposed control approach.

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Adaptive approach for primary frequency support by wind turbines based on grid code requirements and turbines limitations

Melhem

Liu

2023

2023 IEEE PES Grid Edge Technologies Conference &Amp; Exposition (Grid Edge)

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A Robust Reserve Scheduling Method Considering Wind Turbine Generator’s De-loading Control

Cited by 4 publications

References 12 publications

A Data Driven Security Correction Method for Power Systems with UPFC

A Data Driven Security Correction Method for Power Systems with UPFC

Optimal active power control of wind turbines in grid-forming mode

Adaptive approach for primary frequency support by wind turbines based on grid code requirements and turbines limitations

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