A case study to assess data management and performance of optimal power flow algorithm based tool in a DSO day-ahead operational planning platform

Abstract

Due to higher competitiveness of distributed energy resources, Distribution System Operators (DSO) are nowadays confronted with a rapid rise of renewable energy resources, leading to increasing grid congestion events into the distribution grid. In order to tackle these bottlenecks, DSOs are investigating several strategies including flexibility activation.This paper looks at the performance evaluation of the Smart Operation tool in the context of flexibility activation with a focus on the day-ahead operational planning. The tool performance is evaluated based on its capability to: 1) effectively align with DSO’s existing database 2)accommodate the various real-world needs like handling large network, specific time constraints to ensure proper coordination with the Transmission System Operator (e.g. sending signals before closure of market).