DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Critical zone identification framework for bulk electric system security assessment

Journal Article · · International Journal of Electrical Power and Energy Systems

Climate change introduces a new set of vulnerabilities. It might cause unexpected voltage and frequency violation problems that can damage the existing power system configurations. Identifying the zones containing more critical violations in a bulk system under different climatic conditions and contingencies is crucial to securing the power system operation and infrastructure safety. This paper presents an advanced critical zone identification framework that can retrieve information from extensive data yielded by dynamic contingency analysis results from a large interconnected power grid. A machine learning (ML) based clustering approach is applied to identify the critical zone under hundreds of scenarios. The developed framework is tested using the 2028 western electricity coordinating council (WECC) system, and the detailed results are discussed in this paper.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Electricity (OE)
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
2204802
Alternate ID(s):
OSTI ID: 2278667
Report Number(s):
PNNL-SA-183659
Journal Information:
International Journal of Electrical Power and Energy Systems, Vol. 155, Issue Part B; ISSN 0142-0615
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (17)

Automated Tool to Create Chronological AC Power Flow Cases for Large Interconnected Systems journal January 2021
Fast voltage contingency screening using radial basis function neural network journal November 2003
Survey of Clustering Algorithms journal May 2005
Application of core vector machines for on-line voltage security assessment using a decision-tree-based feature selection algorithm journal August 2009
An Intelligent Dynamic Security Assessment Framework for Power Systems With Wind Power journal November 2012
Fast Stability Scanning for Future Grid Scenario Analysis journal January 2018
Review on voltage‐violation mitigation techniques of distribution networks with distributed rooftop PV systems journal December 2019
Enhancing the clustering process in the category model load profiling journal April 2015
Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning journal November 2013
Electric power demand forecasting using interval time series: A comparison between VAR and iMLP journal February 2010
Feature Extraction and Visualization of Power System Transient Stability Results journal March 2014
The global k-means clustering algorithm journal February 2003
A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings journal October 2014
Dynamic Security Analysis Framework for Future Large Grids With High Renewable Penetrations journal January 2023
Development of Low Voltage Network Templates—Part I: Substation Clustering and Classification journal November 2015
Online Monitoring of Voltage Stability Margin Using an Artificial Neural Network journal August 2010
Transient stability assessment in longitudinal power systems using artificial neural networks journal January 1996

Figures / Tables (10)