Advancing Power Supply Resilience: Optimized Transmission Line Retrofitting Through Deep Q-Learning Algorithm

Lin Liu, Tianjian Wang (), Xiuchao Zhu and Chenming Liu
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Lin Liu: Substation Operation and Maintenance Centre, State Grid Zhengzhou Power Supply Company, Zhengzhou 450000, China
Tianjian Wang: Substation Operation and Maintenance Centre, State Grid Zhengzhou Power Supply Company, Zhengzhou 450000, China
Xiuchao Zhu: School of Electrical Engineering, Zhengzhou Electric Power College, Zhengzhou 450000, China
Chenming Liu: Dalian Autovocational Technical Institute, Dalian 116031, China

Energies, 2025, vol. 18, issue 16, 1-28

Abstract: This study explores practical approaches to improving the reliability of power supply systems through the expansion and optimization of substation power lines. As electricity demand steadily increases, ensuring a stable and efficient power delivery network has become essential to support industrial growth and socio-economic development. This study focuses on challenges such as vulnerability to single-line faults, limited transmission capacity, and complex coordination in system operation. To address these issues, the proposed strategy includes building redundant transmission lines, improving network configuration, and applying modern transmission technologies to enhance operational flexibility. Notably, a Deep Q-Learning algorithm is introduced during the planning and optimization process. Its ability to accelerate convergence and streamline decision making significantly reduces computation time while maintaining solution accuracy, thereby increasing overall efficiency in evaluating large-scale network configurations. Simulation results and case studies confirm that such improvements lead to shorter outage durations, enhanced fault tolerance, and better adaptability to future load demands. The findings highlight strong practical value for industrial applications, offering a scalable and cost-conscious solution for strengthening the reliability of modern power systems.

Keywords: substation; transmission lines; power supply reliability; alternate transmission lines; voltage regulator; voltage unbalance factor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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