A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity

With the continuous expansion of power system scales and the increasing integration of renewable energies, the issues such as the line overload have become prominent, which result in the growing demand for power flow control in the power system. As a low-cost and effective power flow regulation devi...

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Main Authors: Huarui Li, Ningyu Zhang, Yuqiao Jia, Xinyao Zhu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/11053825/
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author Huarui Li
Ningyu Zhang
Yuqiao Jia
Xinyao Zhu
author_facet Huarui Li
Ningyu Zhang
Yuqiao Jia
Xinyao Zhu
author_sort Huarui Li
collection DOAJ
description With the continuous expansion of power system scales and the increasing integration of renewable energies, the issues such as the line overload have become prominent, which result in the growing demand for power flow control in the power system. As a low-cost and effective power flow regulation device, Phase Shifting Transformers (PSTs) are gradually being deployed at a larger scale. However, the control characteristics and application scenarios of different types of PSTs are different. In the case of independent operation without considering multiple PSTs’ interactive effects, their control performances may be suboptimal or even counterproductive. In order to achieve coordinated optimization of multiple PSTs, this paper proposes a coordination control strategy based on the interaction sensitivity. By quantifying the interactions between PSTs, a multi-objective coordination control algorithm is designed to optimize the system’s power flow control performance, voltage stability, and loss rate. The simulation results based on the IEEE 57-bus system verify the effectiveness of the proposed strategy. Compared to independent control strategies, the coordination control strategy reduces the maximum line loading rate by 3.79%, the node voltage deviation index by 0.02%, and the system loss rate by 0.01%.
format Article
id doaj-art-3da6d2f2a6584d40a482101eb2e19650
institution Kabale University
issn 2169-3536
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-3da6d2f2a6584d40a482101eb2e196502025-08-20T03:51:04ZengIEEEIEEE Access2169-35362025-01-011312050612051610.1109/ACCESS.2025.358369211053825A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction SensitivityHuarui Li0https://orcid.org/0009-0004-4079-3188Ningyu Zhang1https://orcid.org/0000-0003-1492-0898Yuqiao Jia2Xinyao Zhu3State Grid Jiangsu Electric Power Company Ltd. Research Institute, Nanjing, ChinaState Grid Jiangsu Electric Power Company Ltd. Research Institute, Nanjing, ChinaState Grid Jiangsu Electric Power Company Ltd. Research Institute, Nanjing, ChinaState Grid Jiangsu Electric Power Company Ltd. Research Institute, Nanjing, ChinaWith the continuous expansion of power system scales and the increasing integration of renewable energies, the issues such as the line overload have become prominent, which result in the growing demand for power flow control in the power system. As a low-cost and effective power flow regulation device, Phase Shifting Transformers (PSTs) are gradually being deployed at a larger scale. However, the control characteristics and application scenarios of different types of PSTs are different. In the case of independent operation without considering multiple PSTs’ interactive effects, their control performances may be suboptimal or even counterproductive. In order to achieve coordinated optimization of multiple PSTs, this paper proposes a coordination control strategy based on the interaction sensitivity. By quantifying the interactions between PSTs, a multi-objective coordination control algorithm is designed to optimize the system’s power flow control performance, voltage stability, and loss rate. The simulation results based on the IEEE 57-bus system verify the effectiveness of the proposed strategy. Compared to independent control strategies, the coordination control strategy reduces the maximum line loading rate by 3.79%, the node voltage deviation index by 0.02%, and the system loss rate by 0.01%.https://ieeexplore.ieee.org/document/11053825/Coordinated controlmultiple phase shifting transformerspower flow controlpower systemrenewable integrationsensitivity analysis
spellingShingle Huarui Li
Ningyu Zhang
Yuqiao Jia
Xinyao Zhu
A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
IEEE Access
Coordinated control
multiple phase shifting transformers
power flow control
power system
renewable integration
sensitivity analysis
title A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
title_full A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
title_fullStr A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
title_full_unstemmed A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
title_short A Coordinated Operation Control Strategy of Multiple Phase Shifting Transformers Based on the Interaction Sensitivity
title_sort coordinated operation control strategy of multiple phase shifting transformers based on the interaction sensitivity
topic Coordinated control
multiple phase shifting transformers
power flow control
power system
renewable integration
sensitivity analysis
url https://ieeexplore.ieee.org/document/11053825/
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AT xinyaozhu acoordinatedoperationcontrolstrategyofmultiplephaseshiftingtransformersbasedontheinteractionsensitivity
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AT ningyuzhang coordinatedoperationcontrolstrategyofmultiplephaseshiftingtransformersbasedontheinteractionsensitivity
AT yuqiaojia coordinatedoperationcontrolstrategyofmultiplephaseshiftingtransformersbasedontheinteractionsensitivity
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