Faster Line Switching Algorithm in Electrical Grids

Opportunity

Available for Licensing

IP Status

US Utility Patent Pending (Not Yet Published)

Inventors

Tanveer Hussain
Siddharth Suryanarayanan
SM Shafiul Alam

At A Glance

​Researchers at Colorado State University have developed a unique and fast bi-level algorithm which succeeds in eliminating post contingency violations (PCVs) with optimal load shedding in electrical grids.  The algorithm is capable of identifying transmission lines to be switched out for decreasing load shed under duress, with manageable computational complexity and easy adoption by the industry.

Please contact our office directly for more details.

Licensing Director

Mandana Ashouri
Mandana.Ashouri@colostate.edu
970-491-7100

Reference No.: 2020-102

Background

​The aim of electrical power systems is to provide continuous power to its customers.  But, in the case of a generator or line contingency, load shedding may be the only solution to avoid post contingency violations (PCVs).  Lack of proper load shedding may lead to cascading failures.  Research in the past has minimized the amount of load shedding as much as possible while preventing PCVs, to mitigate cascading failures without transmission switching (TS).  TS, however, provides topology changes and is beneficial for contingency analysis, but is often computationally too complex to implement.

An AC-based real-time contingency analysis (RTCA) tool, utilizing TS, and capable of handling large-scale real power systems was developed to overcome these challenges.  Three heuristic methods were proposed using the RTCA tool and implemented on large-scale power systems.  Although the RTCA tool was computationally less complex, success rates to completely remove PCVs were only between 10% -30%, and ultimately did not completely prevent cascading failures.

Thus, there is a need to improve the existing TS algorithms to mitigate cascading failures.

Benefits
  • Faster bi-level algorithm, with manageable computational complexity
  • Speed-ups averaged 18 times faster
  • Accuracy averaged between 97.3 – 99.17%
Applications
  • Power systems
  • Power systems analysis software
  • Independent power systems operators
  • Electric utilities
  • Energy management companies
Publications

Hussain, Tanveer, et al. “An Improved Transmission Switching Algorithm for Managing Post-(N-1) Contingency Violations in Electricity Networks.” ArXiv.org, 23 June 2020, arxiv.org/abs/2006.13121.

Last updated: July 2020
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