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

Power System Restoration Research — FAQ

Common questions about our SCI-indexed research on power system restoration and practical applications.

The research solves the islanding problem in power distribution systems after an outage — determining which loads can be safely reconnected, in what order, and through which feeders, so partial service is restored quickly without overloading distributed generation.

The work was published as two peer-reviewed papers in the CSEE Journal of Power and Energy Systems, an SCI-indexed journal co-published by the Chinese Society for Electrical Engineering and IEEE.

The approach uses Prim's Minimum Spanning Tree algorithm to model the distribution network as a weighted graph and find the most feasible restoration path, balancing distributed generation capacity against load criticality.

The 2020 paper on optimal islanding has received 9 citations and over 1,400 full-text views on IEEE Xplore. The 2022 follow-up on adaptive islanding has received 6 citations and over 800 views.

Utilities and microgrid operators use these techniques in distribution management software to restore service faster after faults, reducing blackout duration and improving resilience in networks with distributed generation like solar and wind.

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