Abstract
Abstract In planning transmission lines with the use of Geographic Information Systems, the use of the Least Cost Path (LCP) algorithm has been established while relevant criteria are modeled using Multi-Criteria Decision Analysis (MCDA). Despite their established use, this combination (MCDA/LCP) often leads to results that do not correspond to realistic conditions. Therefore, the MCDA/LCP computation must usually be optimized on an algorithmic level as well as on the decision model and the underlying data relevant for the MCDA. The current paper presents the state-of-the-art of an ongoing research project that aims to solve these issues. First results are promising since a stable algorithm has been developed that computes a cost surface, a Least Cost Corridor (LCC), a LCP, and the transmission towers' positions by simple additive weighting based on user's weights. Optimizations on the MCDA models have already been implemented and tested. The findings are integrated into a 3D Decision Support System which aims at facilitating the work of TL planners by realistic modeling and by reducing the approval process for new TL.
Highlights
Nowadays, Europe’s power grid operators are confronted with big challenges concerning the planning of future transmission lines (TL)
In planning transmission lines with the use of Geographic Information Systems, the use of the Least Cost Path (LCP) algorithm has been established while relevant criteria are modeled using Multi-Criteria Decision Analysis (MCDA)
The findings are integrated into a 3D Decision Support System which aims at facilitating the work of TL planners by realistic modeling and by reducing the approval process for new TL
Summary
Europe’s power grid operators are confronted with big challenges concerning the planning of future transmission lines (TL). Geographic Information Science [3] supports the TL planning process by using well-established algorithms to compute an ideal Least Cost Path (LCP) or by acting as a Decision Support System (DSS) to assist stakeholders in finding a decision for a given problem. The weighting and decision rules of an MCDA can further be applied within Geographic Information Systems (GIS) on differently weighted, spatially explicit factors in order to compute a cost surface—a surface describing how expensive (in terms of costs or friction) it is to pass every cell [5] With these known costs to pass the cells, the LCP algorithm determines the LCP between two given points, which means that every path deviating from the LCP causes higher costs. It began in October 2014 with a term of three years
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