Co-Simulation Framework OpenDSS-Python to Consider Distribution Grid Constraints in a Transactive Energy System

Recent developments in Transactive Energy Systems (TES) unveiled innovative electricity markets that improve the economic efficiency of the grid. These markets must consider the grid's operative constraints to support the transactions with a satisfactory quality of service. In this regard, this paper presents a co-simulation OpenDSS-Python approach to evaluate the feasibility of TES mechanisms, given the technical limits of the distribution grid. The proposed approach takes the TES aggregated demand of residential customers as input and derives the active and reactive power demand using a probabilistic conversion module. Then, the voltage profiles and line losses are calculated by solving dynamic power flows. The outcomes are contrasted with predefined thresholds and enclosed in a transactive report for the Distribution System Operator (DSO). As a case study, the IEEE-33-bus distribution system is assessed with the proposed co-simulation framework. The results evidence the impact of TES in the distribution system operation for the DSO to authorize the transactions. Transactive reports also present relevant information for grid expansion planning since they reveal demand coordination efficacy.