Open AccessEnhanced sensitivity‐based decentralised framework for real‐time transient stability assessment in bulk power grids with renewable energy resources
Author(s) -
Zareian Jahromi Mehdi,
Tajdinian Mohsen,
Zhao Junbo,
Dehghanian Payman,
Allahbakhsi Mehdi,
Seifi Ali Reza
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0848
Subject(s) - transient (computer programming) , sensitivity (control systems) , electric power system , computer science , renewable energy , stability (learning theory) , distributed generation , software deployment , grid , reliability engineering , power (physics) , engineering , electronic engineering , electrical engineering , physics , geometry , mathematics , quantum mechanics , machine learning , operating system
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.