IoT Research

Power System Restoration — SCI Published Algorithm Research

A collaborative research effort resulting in two peer-reviewed publications in the CSEE Journal of Power and Energy Systems. The research proposed novel algorithms for power distribution system restoration after outages — using Prim's Minimum Spanning Tree to find optimal power flow paths.

MATLABMatpower ToolboxAlgorithm DesignPrim’s MSTMulti-Objective OptimizationPower Flow AnalysisGraph TheoryIEEE 69-Bus System

Power System Restoration — SCI Published Algorithm Research

The Challenge

When power grids experience major outages, restoring electricity to critical loads using distributed generation resources requires finding optimal power flow paths — a complex multi-objective optimization problem.

Our Solution

We proposed a new weight coefficient for Prim's MST algorithm to find optimal restoration paths based on line impedance, load priority, and demand. An adaptive strategy was developed to handle post-restoration failures.

Impact

Results & Impact

Published: Optimal Islanding Using Prim's MST Algorithm — CSEE JPES, Vol. 8, No. 2, March 2022

Published: Adaptive Islanding Strategy — CSEE JPES, Vol. 9, No. 4, July 2023

Proposed method restored 64% of total demand — outperforming 6 competing methods

100% restoration of highest-priority loads in initial scenario

Validated on IEEE 69-bus distribution system using MATLAB Matpower

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