4.4 Article

Enhanced sensitivity-based decentralised framework for real-time transient stability assessment in bulk power grids with renewable energy resources

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 14, Issue 4, Pages 665-674

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2019.0848

Keywords

power system interconnection; power system control; power grids; distributed power generation; power system transient stability; power system stability; AC generators; power system simulation; real-time transient stability assessment; bulk power grids; renewable energy resources; distributed energy resources; real-time assessment; power system transient stability; transient stability assessment scheme; large-scale power network; sensitivity-based scheme; kinetic energy-based stability assessment index; power electronic-based generator units; decentralised manner; large-scale power systems; 544-machine 2000-bus synthetic power grid; enhanced sensitivity-based decentralised framework

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With the increasing trend in the integration and deployment of distributed energy resources, the real-time assessment of power system transient stability is becoming more and more challenging. This study presents an enhanced sensitivity-based decentralised transient stability assessment scheme, which first virtually decomposes the large-scale power network into several smaller areas. Then, a new sensitivity-based scheme is developed to derive and quantify the kinetic energy-based stability assessment index. This index allows taking into account the effects of both AC generators and power electronic-based generator units. In addition, thanks to the new sensitivity-based scheme, the transient stability can be assessed in a decentralised manner using only the boundary buses in each segmented area, which relaxes the need for massive data availability and transfer across the network and enables its applicability for online applications in large-scale power systems. Simulation results on the 48-machine IEEE 140-bus and 544-machine 2000-bus synthetic power grid test systems demonstrate the efficacy of the proposed method.

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