Multi-objective coordination control of distributed power flow controller

Tang, Aihong; Shao, Yunlu; Xu, Qiao; Xu, Zheng; Zhao, Hongsheng; Xu, Duo

doi:10.17775/cseejpes.2018.01450

Cited by 8 publications

(10 citation statements)

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“…In order to make the complex torque coefficient method suitable for analyzing the interaction mechanism between the controllers of the wind power grid-connected system, there are two main development directions currently (Tang et al, 2019). One is to ignore the mechanical part of the system and only consider the electrical part of the system.…”

Section: Research Ofmentioning

confidence: 99%

Research on oscillation characteristics of wind farm sending system based on participation factor

Qiu

Jingen²,

Chen³

et al. 2022

Front. Energy Res.

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The MMC-HVDC transmission system of wind farms has a very broad application prospect, but there is gradually growing major concern that the system is prone to broadband oscillation. And the mechanism of oscillation also remains to be clarified. In this article, based on the basic principle of eigenvalue analysis, the theoretical calculation equation of the quantitative evaluation index of the participation factor is deduced. The small-signal model of the MMC-HVDC transmission system for a wind farm is established. Combining with the case of 200 wind turbines connected to the grid, the eigenvalue analysis method is used to obtain the dominant oscillation mode of the system. The participation factors of 11 oscillation modes of the system are calculated to further analyze the relationship between the oscillation modes and the state variables in the MMC-HVDC transmission system of the wind farms. And the correlation between the participation factors of each oscillation mode, wind farm, and the MMC system is investigated, which laid a foundation for the formulation of broadband oscillation suppression strategies.

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Section: Research Ofmentioning

confidence: 99%

Research on oscillation characteristics of wind farm sending system based on participation factor

Qiu

Jingen²,

Chen³

et al. 2022

Front. Energy Res.

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“…The decoupling control of active and reactive power is a major feature of variable-speed wind turbines. To meet the requirements of FRT capability [19], different active and reactive power control strategies can be used. The typical active power control strategy of wind turbines during the grid faults is shown in Fig.…”

Section: A Active Power Recovery Characteristics Of Wind Power Genera...mentioning

confidence: 99%

“…The rotor slip of DFIG running at rated power is ω slip Î(-20% + 20%). Based on (19), the active power of the RSC is between -0.2P N and 0.2P N . Considering the frequency disturbance, the maximum power delivered by the RSC is given as:…”

Section: Impacts On Wind Power Generationmentioning

confidence: 99%

“…Then, in order to maintain the frequency stability, several frequency-accompanying control strategies are developed and discussed, including virtual inertia control [13], [14] and primary frequency control [15] - [17]. Besides, the virtual power plant at the demand side with the vehicle-to-grid technology to support the power grid is studied [18], [19]. However, these studies are conducted under normal grid voltage conditions, which is not suitable for the grid fault conditions.…”

Section: Introdctionmentioning

confidence: 99%

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Power-balancing Coordinated Control of Wind Power and Demand-side Response Under Post-fault Condition

Tian

Chi

Liu

et al. 2022

Journal of Modern Power Systems and Clean Energy

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As the global energy transforms to renewablebased power system, the wind power generation has experienced a rapid increase. Due to the loss of synchronous machines and its frequency control mechanisms, the gradual evolution leads to critical challenges in maintaining the frequency stability. Under post-fault condition, the wind power generation has a slow recovery due to the fault ride-through (FRT) control strategy and may cause a larger frequency deviation due to the power imbalance between the supply and demand. Then, the impacts of the frequency deviations would further cause inaccuracy and instability in the control system for wind power generation. Considering the long parking time of electric vehicles (EVs), the demand-side response is provided to support the power grid via load-to-grid technology. Thus, a power-balancing coordinated control strategy of the wind power and the demand-side response is developed. It can significantly mitigate the power imbalance, thereby resulting in the enhanced frequency stability. Finally, the simulation results are provided to validate the power-balancing coordinated control strategy.

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“…New self-tuning control schemes are still emerging, such as the robust multi-model adaptive control system, fuzzy parameter self-tuning PID method, intelligent AC contactor Entropy 2023, 25, 173 3 of 16 self-tuning control technology, self-tuning control method of simulation turntable based on the accurate identification of the model parameters, sliding model adaptive control method [23][24][25][26][27], and the traditional approach cannot prove its stability and convergence due to the lack of a general theory of adaptive control. In general, it is expected that the stability and convergence analysis methods of stochastic STC systems are independent of specific control strategies and parameter estimation methods.…”

Section: Introductionmentioning

confidence: 99%

From Nonlinear Dominant System to Linear Dominant System: Virtual Equivalent System Approach for Multiple Variable Self-Tuning Control System Analysis

Pan

Peng

Zhang

2023

Entropy

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The stability and convergence analysis of a multivariable stochastic self-tuning system (STC) is very difficult because of its highly nonlinear structure. In this paper, based on the virtual equivalent system method, the structural nonlinear or nonlinear dominated multivariable self-tuning system is transformed into a structural linear or linear dominated system, thus simplifying the stability and convergence analysis of multivariable STC systems. For the control process of a multivariable stochastic STC system, parameter estimation is required, and there may be three cases of parameter estimation convergence, convergence to the actual value and divergence. For these three cases, this paper provides four theorems and two corollaries. Given the theorems and corollaries, it can be directly concluded that the convergence of parameter estimation is a sufficient condition for the stability and convergence of stochastic STC systems but not a necessary condition, and the four theorems and two corollaries proposed in this paper are independent of specific controller design strategies and specific parameter estimation algorithms. The virtual equivalent system theory proposed in this paper does not need specific control strategies, parameters and estimation algorithms but only needs the nature of the system itself, which can judge the stability and convergence of the self-tuning system and relax the dependence of the system stability convergence criterion on the system structure information. The virtual equivalent system method proposed in this paper is proved to be effective when the parameter estimation may have convergence, convergence to the actual value and divergence.

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Multi-objective coordination control of distributed power flow controller

Cited by 8 publications

References 0 publications

Research on oscillation characteristics of wind farm sending system based on participation factor

Research on oscillation characteristics of wind farm sending system based on participation factor

Power-balancing Coordinated Control of Wind Power and Demand-side Response Under Post-fault Condition

From Nonlinear Dominant System to Linear Dominant System: Virtual Equivalent System Approach for Multiple Variable Self-Tuning Control System Analysis

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