Alidaee, B.; Wang, H.; Huang, J.; Sua, L.S. Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure. Energies2024, 17, 225.
Alidaee, B.; Wang, H.; Huang, J.; Sua, L.S. Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure. Energies 2024, 17, 225.
Alidaee, B.; Wang, H.; Huang, J.; Sua, L.S. Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure. Energies2024, 17, 225.
Alidaee, B.; Wang, H.; Huang, J.; Sua, L.S. Integrating Statistical Simulation and Optimization for Redundancy Allocation in Smart Grid Infrastructure. Energies 2024, 17, 225.
Abstract
It is a critical issue to allocate redundancy to critical smart grid infrastructure for disaster recovery planning. In this study, we present a framework to combine statistical prediction methods and optimization models for the optimal redundancy allocation problem. First, we develop statistical simulation methods to identify critical nodes of very large-scale smart grid infrastructure based on the topological features of embedding networks, and then present a linear integer programming model based on generalized assignment problem (GAP) for redundancy allocation of critical nodes in smart grid infrastructure. The model is specifically implemented in the context of smart grid infrastructure. The findings demonstrate that the combined approach of statistical simulation and optimization effectively addresses the size limitations inherent in a sole optimization approach. Notably, the optimal solutions for redundancy allocation in very large grid systems highlight that the cost of redundancy is only a fraction of the economic losses incurred due to weather-related outages.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
