Ajay Chhokra, Amogh Kulkarni, Saqib Hasan, Abhishek Dubey, Nagabhushan Mahadevan, Gabor Karsai
Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, SPSR-SG@CPSWeek 2017, Pittsburgh, PA, USA, April 21, 2017 2017
Cascading failures in power grids can result in widespread blackouts with severe economic consequences. While load shedding is standard practice, existing methods rely on manual intervention and may not identify optimal strategies. This work is innovative because it automates the process of finding minimal load curtailment actions using integrated optimization frameworks.
This work presents a systematic approach to identify optimal load control actions for preventing cascading failures in power systems. The authors develop a tool chain that automatically generates simulation models from IEEE Common Data Format specifications and integrates OpenMDAO optimization with sensitivity analysis. They demonstrate the methodology by identifying critical load curtailment strategies in IEEE 14-bus systems.
The paper demonstrates that their optimization-based approach successfully identifies load curtailment strategies that prevent cascading failures in 427 cases with an average of 29 iterations. Results show that load curtailment can be restricted to less than 20 percent of system load in most scenarios, significantly improving grid stability.
@inproceedings{Chhokra2017,
author = {Chhokra, Ajay and Kulkarni, Amogh and Hasan, Saqib and Dubey, Abhishek and Mahadevan, Nagabhushan and Karsai, Gabor},
booktitle = {Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, SPSR-SG@CPSWeek 2017, Pittsburgh, PA, USA, April 21, 2017},
title = {A Systematic Approach of Identifying Optimal Load Control Actions for Arresting Cascading Failures in Power Systems},
year = {2017},
pages = {41--46},
abstract = {Cascading outages in power networks cause blackouts which lead to huge economic and social consequences. The traditional form of load shedding is avoidable in many cases by identifying optimal load control actions. However, if there is a change in the system topology (adding or removing loads, lines etc), the calculations have to be performed again. This paper addresses this problem by providing a workflow that 1) generates system models from IEEE CDF specifications, 2) identifies a collection of blackout causing contingencies, 3) dynamically sets up an optimization problem, and 4) generates a table of mitigation strategies in terms of minimal load curtailment. We demonstrate the applicability of our proposed methodology by finding load curtailment actions for N-k contingencies (k = 1, 2, 3) in IEEE 14 Bus system.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/cpsweek/ChhokraKHDMK17},
category = {workshop},
contribution = {colab},
doi = {10.1145/3055386.3055395},
file = {:Chhokra2017-A_Systematic_Approach_of_Identifying_Optimal_Load_Control_Actions_for_Arresting_Cascading_Failures_in_Power_Systems.pdf:PDF},
keywords = {power systems, cascading failures, load curtailment, optimization, blackout prevention, critical contingencies},
project = {cps-reliability},
tag = {platform},
timestamp = {Tue, 06 Nov 2018 16:59:05 +0100},
url = {https://doi.org/10.1145/3055386.3055395}
}