A GIS-based approach for high-level distribution networks expansion planning in normal and contingency operation considering reliability

This paper presents a novel methodology for the Distribution Networks expansion planning based on Geographic Information Systems. The proposed methodology combines Delaunay Triangulation with a Mixed-Integer Linear Programming model in a 2-steps approach. Secondary substations are grouped in primary substation clusters, considering both normal and contingency operation. Topological and electrical constraints have to be fulfilled as well as a given level of reliability; the mathematical formulation includes feeder and substation constraints. The proposed methodology is expected to be only the first step of the whole network expansion planning. Hence, it has to be able to give macro information that planners can refine in the following steps of the planning process. A numerical case study on a real network illustrates the effectiveness of the proposed approach for the Distribution Network expansion planning problem.

Automated summary

This paper presents a novel methodology for Distribution Networks expansion planning using Geographic Information Systems, combining Delaunay Triangulation with Mixed-Integer Linear Programming in a 2-steps approach. The methodology accounts for topological and electrical constraints, as well as a specified level of reliability, and is intended to provide macro information for further refinement by planners in subsequent planning steps. A numerical case study on a real network demonstrates the efficacy of the proposed approach for the Distribution Network expansion planning problem.