scholarly journals Integrated Water-Power System Resilience Analysis in a Southeastern Idaho Irrigation District: Minidoka Case Study

2021 ◽  
Vol 13 (19) ◽  
pp. 10906
Author(s):  
Ange-Lionel Toba ◽  
Liam Boire ◽  
Timothy McJunkin

This study investigates the joint water–power system resilience of an irrigation district in southeastern Idaho. Irrigation districts face difficulties in the delivery of water to farmers under drought conditions, during equipment failures, or unplanned infrastructure disruptions. The resilience of interconnected water and power systems can be better analyzed and understood through an integrated approach, using a model that connects the dependencies between the two halves of the system. Using a multi-agent system model capturing both water and power system components, as well as their linkages, we capture the interdependencies of these systems and highlight opportunities for improvement when faced with disruptions. Through simulation scenarios, we examine the system resilience using system performance, quantified as the percentage of met demand of the power and water system, when subjected to drought water year, an unforeseen water demand increase, power outage and dam failure. Scenario results indicate that the effects of low flow years are mostly felt in the power system; unexpected increases in water demand marginally impact irrigation system performance; dams and pumps present vulnerabilities of the system, causing substantial unmet demand during disruptions. Noting the interdependencies between the water–power system halves while leveraging an integrated simulation allows for an insightful analysis of the system impacts during disruptions.

Author(s):  
Laiz Souto ◽  
Joshua Yip ◽  
Wen-Ying Wu ◽  
Brent Austgen ◽  
Erhan Kutanoglu ◽  
...  

2020 ◽  
pp. 1-1
Author(s):  
Tao Ding ◽  
Ming Qu ◽  
Zekai Wang ◽  
Bo Chen ◽  
Chen Chen ◽  
...  

2020 ◽  
Vol 10 (15) ◽  
pp. 5089
Author(s):  
Efthymios Karangelos ◽  
Samuel Perkin ◽  
Louis Wehenkel

This paper presents a probabilistic methodology for assessing power system resilience, motivated by the extreme weather storm experienced in Iceland in December 2019. The methodology is built on the basis of models and data available to the Icelandic transmission system operator in anticipation of the said storm. We study resilience in terms of the ability of the system to contain further service disruption, while potentially operating with reduced component availability due to the storm impact. To do so, we develop a Monte Carlo assessment framework combining weather-dependent component failure probabilities, enumerated through historical failure rate data and forecasted wind-speed data, with a bi-level attacker-defender optimization model for vulnerability identification. Our findings suggest that the ability of the Icelandic power system to contain service disruption moderately reduces with the storm-induced potential reduction of its available components. In other words, and as also validated in practice, the system is indeed resilient.


2020 ◽  
Vol 18 (4) ◽  
pp. 20-30 ◽  
Author(s):  
Hong Chen ◽  
Frederick S. Bresler ◽  
Michael E. Bryson ◽  
Kenneth Seiler ◽  
Jonathon Monken

2017 ◽  
Vol 32 (5) ◽  
pp. 3747-3757 ◽  
Author(s):  
Mathaios Panteli ◽  
Cassandra Pickering ◽  
Sean Wilkinson ◽  
Richard Dawson ◽  
Pierluigi Mancarella

Sign in / Sign up

Export Citation Format

Share Document