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<p>With the integration of large-scale distributed generators (DGs), the distribution grid is becoming ‘weak’, causing severe voltage fluctuation, and the bus voltage even exceeds the limit. Traditional voltage regulation methods, such as the reactive power compensation, become less effective due to active and reactive power coupling for voltage regulation in weak grid. Energy Storage type Intelligent Soft Open Point (E-SOP) is a power electronic switch connecting regional grids to realize the active power interconnection and reactive power support. To verify its voltage support capability for weak grid, this paper applies the E-SOP between two weakest buses in two weak clusters for an IEEE 33-bus grid with DGs and the strength of each cluster can be evaluated using Thevenin equivalent model. Through simulation verification, E-SOP has best voltage support capability compared to reactive power compensation and system expansion methods.</p>

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Voltage Support Capability in Weak-Bus System of Energy Storage Type Intelligent Soft Open Point

  • 期刊论文

  • 发表日期：

    2025年7月4日

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  • Teng Li,
  • Zerong Liang

摘要

With the integration of large-scale distributed generators (DGs), the distribution grid is becoming ‘weak’, causing severe voltage fluctuation, and the bus voltage even exceeds the limit. Traditional voltage regulation methods, such as the reactive power compensation, become less effective due to active and reactive power coupling for voltage regulation in weak grid. Energy Storage type Intelligent Soft Open Point (E-SOP) is a power electronic switch connecting regional grids to realize the active power interconnection and reactive power support. To verify its voltage support capability for weak grid, this paper applies the E-SOP between two weakest buses in two weak clusters for an IEEE 33-bus grid with DGs and the strength of each cluster can be evaluated using Thevenin equivalent model. Through simulation verification, E-SOP has best voltage support capability compared to reactive power compensation and system expansion methods.