Research on the Transient Stability Influenced by Wind Farm Access Nodes Based on Dynamic Security Region

Zhou, Baozhu; Zeng, Yuan; Zhen, Qing; Wang, Anying; Xie, Yu; Sun, Fei

doi:10.1109/ciced.2018.8592528

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Maihemuti et al (2021) solved the problem of a dynamic security region of an integrated energy system with natural gas access through high renewable energy permeability. In the study by Zhou et al (2018), the transient stability of the access nodes on wind farms was analyzed by constructing a dynamic security region. Finally, Xiran et al (2013) proposed a power system emergency control strategy based on a dynamic security region.…”

Section: Introductionmentioning

confidence: 99%

Online correction of the transient voltage security region boundary based on load parameter variations in power systems

Zhang,

Zeng,

et al. 2023

Front. Energy Res.

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The transient voltage security region (TVSR) is an essential part of the dynamic safety region of a power system, which represents the safe operating region of the transient voltage where there is no loss in stability. The power system load significantly affects the transient voltage stability. However, the load model in the existing power systems, which considers the security region of the dynamic process, is too simple to comprehensively characterize the load characteristics of the dynamic process. Furthermore, it neglects the influence of the load model parameters on the dynamic process security region. In this study, a composite load model with distributed photovoltaic power is used as the research object. The main load parameters affecting the voltage stability and the generator nodes that are sensitive to the load parameters are calculated using the trajectory sensitivity method. The TVSR of the system is constructed based on the load and generator’s active powers. The correlations between different load-leading parameter combination scenarios and TVSR boundary points are mined using the CatBoost learning framework. Thus, the TVSR boundary can be promptly corrected online based on the changes in the load parameters, and the system security boundary can be described more accurately. The proposed method is verified using the IEEE39 and IEEE118 node systems. It is observed that the proposed method can correct the TVSR boundary online with high precision corresponding to real-time changes in the load model parameters. This provides a more accurate TVSR boundary for the power system operation scheduler, which helps in guiding it to control the system more accurately.

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Section: Introductionmentioning

confidence: 99%

Online correction of the transient voltage security region boundary based on load parameter variations in power systems

Zhang,

Zeng,

et al. 2023

Front. Energy Res.

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“…DSA is used for the evaluation of power system is ability to withstand sudden disturbances and to survive the transition to an acceptable steady state [3]. Traditionally, DSA has multiple differential-algebraic equations to solve step by step by a time-domain simulation in offline environments [2,15]. Conventional equations expression can be written as shown, where only generators dynamics are considered [16]:…”

Section: Introductionmentioning

confidence: 99%

Dynamic security assessment for the power system in the presence of wind turbines

Khalel

Al-Rawe

Alabbawi

2021

IJEEI

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Dynamic security is an essential requirement for operating a modern power system. Due to the global increase in load demand, modern power systems witness several dramatic changes in terms of size and implementation of new renewable sources. At the same time, the deregulation process in power operation policy is being pushed to operate closer to its security boundary limits. Based on the combined Decision Tree (DT) algorithm, namely Random Forest (RF) and advance attribute selection technique, this paper presents an approach to address these challenges related to dynamic security assessment (DSA) in the modern power system. The performance of study approach is demonstrated on a modified version of IEEE 9 and 14-bus test system models with presence of two wind turbines (WTs) type WTG 3. Results show the superiority of RF compared to other DT algorithms that are used in this study. In addition, the attribute selection technique could significantly affect the number of attributes required for DSA. This makes DT classifier more effectiveness in the online application. Thus, this approach can provide control center with vital information with high accuracy results and less attributes about security state direction that will help operator to take the right and fast steps to remedy problems and prevent a blackout from occurring.

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Research on the Transient Stability Influenced by Wind Farm Access Nodes Based on Dynamic Security Region

Cited by 2 publications

References 2 publications

Online correction of the transient voltage security region boundary based on load parameter variations in power systems

Online correction of the transient voltage security region boundary based on load parameter variations in power systems

Dynamic security assessment for the power system in the presence of wind turbines

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