Prioritization of Transmission Lines in Expansion Planning Using Data Mining Techniques

Abstract

In transmission expansion planning phase, a clear and multifacet understanding of proposed transmission lines and their respective associations in transmission expansion plans is crucial to analyze and compare similar expansion plans. It is also equally important to analyze that how many transmission lines are fully or partially frequent with other transmission lines to chalk down the progression pathway. While the related researches are focusing on the refinement of transmission expansion plan under different scenarios, only few researchers have observed the importance of finding the associative correlations between the expanded plans and the lines based on different scenarios. This paper attempts to discover the associative correlations among the transmission lines of different proposed plans to facilitate the effective execution during the implementation phase. This paper presents the applicability of the existing data mining approaches on this power system problem to make the transmission system more reliable and robust, while analyzing the future scenarios in expansion planning.