Implementing the Based Weight Method using Game Theory for Faultfinding Lines in Electrical Power System
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 02
Abstract
The Identification of critical transmission lines in a power system is crucial for ensuring its stability and reliability. Traditional methods often relay on static metrics, such as line loading or voltage deviations, which may not capture the dynamic nature of power system operations. This abstract proposes a novel approach, the comprehensive weight method based on Game Theory (CWMGT), for identifying critical transmission lines. The CWMGT integrates game theory concepts with comprehensive weight analysis to evaluate the importance of transmission lines within the power system network. The proposed method considers not only the lines loading but also the strategic interactions between interconnected transmission lines. By modeling the power system as a game, where each transmission line represents a player, the CWMGT captures the influence and dependencies among the lines. The CWMGT calculates a comprehensive weight for each transmission line, which reflects its importance in the power system network based on both local and global factors. This weight is determined by considering factors such as line loading, line capacity, line connectivity, and strategic interactions between lines. Method then ranks the lines based on their comprehensive weights to identify the critical transmission lines. Simulation results on a realistic power system demonstrate the effectiveness of the CWMGT in identifying critical transmission lines. The proposed method provides a more comprehensive and accurate approach for assessing the criticality of transmission lines in power systems, facilitating better decision making for grid operators and enhancing the overall reliability and resilience of power systems.
Authors and Affiliations
Nwogbu Celestine Chidi , Udeh U. O. , Nwogbu Paul Iloabuchi,
Keywords
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- EP ID EP759136
- DOI 10.47191/etj/v10i02.11
- Views 26
- Downloads 0
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