Mixed-Integer Optimization for Bio-Inspired Robust Power Network Design
Abstract
Power systems are susceptible to natural threats including hurricanes and floods. Modern power grids are also increasingly threatened by cyber attacks. Existing approaches that help improve power system security and resilience may not be sufficient; this is evidenced by the continued challenge to supply energy to all customers during severe events. This paper presents an approach to address this challenge through bio-inspired power system network design to improve system reliability and resilience against disturbances. Inspired by naturally robust ecosystems, this paper considers the optimal ecological robustness that recognizes a unique balance between pathway efficiency and redundancy to ensure the survivability against disruptive events for given networks. This paper presents an approach that maximizes ecological robustness in transmission network design by formulating a mixed-integer nonlinear programming optimization problem with power system constraints. The results show the increase of the optimized power system's robustness and the improved reliability with less violations under N-x contingencies.
Cite
@article{arxiv.2010.16033,
title = {Mixed-Integer Optimization for Bio-Inspired Robust Power Network Design},
author = {Hao Huang and Varuneswara Panyam and Mohammad Rasoul Narimani and Astrid Layton and Katherine R. Davis},
journal= {arXiv preprint arXiv:2010.16033},
year = {2021}
}
Comments
Published in The 52nd North American Power Symposium