Diagnostics and Long Term Prognostics for Investment Decision Support in Smart Grids

摘要

Abstract: Proliferation of distributed renewable generation and other low carbon technologies create new challenges for the electricity distribution networks. In particular, distribution network operators are increasingly exploring alternatives to conventional reinforcement in order to reduce network operation costs, increase security of supply and allow more renewable generation to be connected to the network. Selecting the most optimal combinations of interventions in regards to long-term cost and performance of the network is something that the current tools and approaches used by the industry cannot adequately do. This paper describes a novel techno-economic planning and investment modelling tool for electricity distribution networks termed as Scenario Investment Model (SIM). The SIM is able to find optimal network evolution scenarios in the presence of changing demand conditions by applying multiple electricity and storage technologies to resolve network issues.