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Technology and Topology Optimization for Multizonal Transmission Systems

This paper presents a method to optimize equipment investments in multizonal transmission systems, considering spatial properties of the areas of focus. Together with a probabilistic technique for assessing nodal injection capability, the method in the paper completes the methodology of a long term transmission system planning tool. Transmission topology, line route and technology are optimized through iterative application of linear integer programming and Dijkstra's shortest path algorithm. By optimizing the transmission route, the spatial properties of the area of focus are taken into account, which in turn can significantly influence the installation costs of transmission equipment. The optimization method considers both AC and DC technology and takes the N-1 security criterion into account.
- Brunel University London United Kingdom
- Brunel University London United Kingdom
- KU Leuven Belgium
- Katholieke Universiteit Leuven Belgium
- KU Leuven Belgium
629, HVDC, Optimal cable routing, Transmission system investments, Transmission system expansion planning, 620, 510, Transmission system optimization
629, HVDC, Optimal cable routing, Transmission system investments, Transmission system expansion planning, 620, 510, Transmission system optimization
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).15 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
