Voltage Stability Constrained Operation Optimization: An Ensemble Sparse Oblique Regression Tree Method

Jia, Hongyang; Hou, Qingchun; Yong, Pei; Liu, Yuxiao; Zhang, Ning; Liu, Dong; Hou, Mengxi

doi:10.1109/tpwrs.2023.3236164

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…In this way, the dispatch results are secure with respect to voltage concerns. Methods such as sensitivity analysis [156,157] and machine learning [158] tools are used to build embedding-friendly constraints. Moreover, because the power system voltage is highly coupled with reactive power, the typical DC power flow model is insufficient.…”

Section: Voltage Stabilitymentioning

confidence: 99%

Revisit power system dispatch: Concepts, models, and solutions

Yang

Yong

Xiang

2023

iEnergy

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Power system dispatch is a general concept with a wide range of applications. It is a special category of optimization problems that determine the operation pattern of the power system, resulting in a huge influence on the power system security, efficiency, and economics. In this paper, the power system dispatch problem is revisited from the basis. This paper provides a categorization of the dispatch problem, especially with an emphasis on industrial applications. Then, this paper presents a detailed review of the dispatch models. The common formulations of the dispatch problem are provided. Finally, this paper discusses the solutions of the dispatch problem and lists the major challenges.

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Section: Voltage Stabilitymentioning

confidence: 99%

Revisit power system dispatch: Concepts, models, and solutions

Yang

Yong

Xiang

2023

iEnergy

Self Cite

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show abstract

“…Eventually, splitting process partition all the samples in a multidimensional space into different subregions with homogeneous samples [25,26], and the samples in each subregion should have the same or similar prediction objective. Based on the well-trained DT model, the complicated classification or regression problem can be converted to a series of "if-then" questions based on the thresholds of partial input features or their linear combinations [27].…”

Section: Fig1 Illustration Of Dt Modelmentioning

confidence: 99%

An improved decision tree-based method for predicting overvoltage peak values integrating a model-driven scheme

Zhang

Qin

Gao

et al. 2023

Preprint

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The commutation failure is the most prevalent fault in line-commutated converter based HVDC systems, which may result in transient overvoltage on the sending-side system. Overvoltage level evaluation has become a crucial task for power industries to assess the tripping risk of large-scale wind turbines and implement effective stability control measures. In this paper, decision tree (DT) model is adopted to extract the mapping relationship between transient overvoltage and massive electrical quantities of power grids. The common DT algorithm is transformed by modifying the error weight assignment, which reflects the error tolerances for different actual overvoltage regions. To compensate for potential inaccuracies in the data-driven method, a derivation of the mathematical relationship between the reactive power consumed by the rectifier and AC voltage is presented, along with an analytical expression for the peak value of transient overvoltage. On this basis, an overvoltage analysis method integrating the model-driven and data-driven techniques is proposed, and the improved DT algorithm is ap-plied to fast error correction, enhancing the interpretability of regression prediction results. Case studies were performed in the actual Northwest China local region hybrid AC/DC power grid with transient overvoltage problems, and the simulation results verified the effectiveness of the proposed method.

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“…Eventually, splitting process partition all the samples in a multidimensional space into different subregions with homogeneous samples [26,27], and the samples in each subregion should have the same or similar prediction objective. Based on the well-trained DT model, the complicated classification or regression problem can be converted to a series of 'if-then' questions based on the thresholds of partial input features or their linear combinations [28].…”

Section: Dt Modelmentioning

confidence: 99%

An improved decision tree‐based method for evaluating transient overvoltage caused by commutation failure in LCC‐HVDC systems

Zhang,

Qin,

Gao

et al. 2023

IET Generation Trans & Dist

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The commutation failure is the most prevalent fault in line‐commutated converter based high‐voltage direct current systems, which may result in transient overvoltage on the sending‐side system. Overvoltage level evaluation has become a crucial task for power industries to assess the tripping risk of large‐scale wind turbines and implement effective stability control measures. In this paper, a derivation of the mathematical relationship between the reactive power consumed by the rectifier and AC voltage is presented firstly, along with an analytical expression for the peak value of transient overvoltage. Secondly, decision tree (DT) model is adopted to extract the mapping relationship between transient overvoltage and massive electrical quantities of power grids. The common DT algorithm is transformed by modifying the error weight assignment, which reflects the error tolerances for different actual overvoltage regions. On this basis, an overvoltage analysis method integrating the model‐driven and data‐driven techniques is proposed, and the improved DT algorithm is applied to fast error correction, enhancing the interpretability of regression prediction results. Case studies were performed in the simulation system of Northwest China local power grid with transient overvoltage problems, and the simulation results verified the effectiveness of the proposed method.

show abstract

Voltage Stability Constrained Operation Optimization: An Ensemble Sparse Oblique Regression Tree Method

Cited by 8 publications

References 34 publications

Revisit power system dispatch: Concepts, models, and solutions

Revisit power system dispatch: Concepts, models, and solutions

An improved decision tree-based method for predicting overvoltage peak values integrating a model-driven scheme

An improved decision tree‐based method for evaluating transient overvoltage caused by commutation failure in LCC‐HVDC systems

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