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This paper presents a techno-economic optimisation tool to study how thepower system expansion decisions can be taken in a more economical andefficient way, by minimising the consequent costs of network reinforcement andreconfiguration. Analyses are performed to investigate how the networkreinforcement and reconfiguration should be planned, within a time horizon ofseveral years, by continuously keeping the network feasibility and ability tosatisfy the load. The main contribution of this study is the inclusion of keyfeatures within the mathematical model to enhance the investment decisionmaking process. A representative maintenance cost of existing cables andapparatus is included, to analyse the influence of the historical performanceof the electric items on the investment decisions. A multihorizon methodologyis developed to take into account the long term variation of the demand,combined with the long term variation of cables maintenance costs. Moreover,technological learning coefficients are considered, to take into account theinvestment costs reductions that arise when an investment in networkrestructuring and/or reconfiguration is repeated throughout the years. Finally,construction time constraints are included to find a proper investmentscheduling that allows a feasible power flow, also during the years required tobuild a new connection or restructure an existing one. This study is alsoproviding recommendations for future research directions within the powersystem reliability field. The analyses show the important and urgent need ofproper methodologies for a better definition of cables projected maintenancecosts and learning coefficients dedicated to network restructuring,reconfiguration and expansion.

A Multihorizon Approach for the Reliability Oriented Network  Restructuring Problem, Considering Learning Effects, Construction Time, and  Cables Maintenance Costs