A Framework to Analyze Interactions between Transmission and Distribution Systems

TL;DR

This paper presents a co-simulation framework for analyzing interactions between transmission and distribution systems, especially considering distributed energy resources and unbalance effects, using iterative coupling of legacy software models.

Contribution

It introduces a novel iterative co-simulation approach that accurately models T&D interactions and unbalances, scalable to larger systems with multiple distribution feeders.

Findings

Framework effectively captures T&D interactions.

Convergence depends on boundary variable exchange.

Scalability demonstrated with multiple feeders.

Abstract

Analyzing the interactions between the transmission and distribution (T&D) system is becoming imperative with the increased penetrations of distributed energy resources (DERs) on electric power distribution networks. An assessment of the impacts of distribution system connected DERs on the transmission system operations is required especially pertaining to system unbalance when modeling both T&D systems. In this paper, a coupled T&D analysis framework is developed through the co-simulation approach. The framework utilizes legacy software to separately solve the decoupled T&D models. The T&D interactions are captured by exchanging network solutions at the point of common coupling (PCC). The proposed co-simulation framework adopts an iterative coupling approach resulting in a co-simulation model close to a stand-alone T&D platform. The proposed framework is tested using the IEEE-9 bus transmission system model and EPRI's Ckt-24 test distribution feeder model. A case study in which the IEEE 9 bus model interfaced with three ckt24 models is also presented to demonstrate the scalability of the approach. The conditions of convergence by exchanging the boundary variables at the PCC are examined in detail using several case studies with varying levels of load unbalance.