Studying impacts of communication system performance on dynamic stability of networked microgrid. Issue 5 (30th June 2020)

• Record Type: Journal Article
• Authors: Bhattarai, Bishnu; Marinovici, Laurentiu; Touhiduzzaman, Md; Tuffner, Francis K.; Schneider, Kevin P.; Xie, Jing; Thekkumparambath Mana, Priya; Du, Wei; Fisher, Andrew
• Is Part Of: IET smart grid. Volume 3:Issue 5(2020)
• Page Start: 667
• Page End: 676
• Publication Date: 2020-06-30
• Subjects: distributed power generation -- smart power grids -- protocols -- power system security -- power system stability -- telecommunication traffic -- telecommunication channels -- computer network security; secured communication system -- communication systems -- power system dynamics operations -- dynamic networked microgrid model -- multiprotocol communication system model -- co‐simulate microgrid dynamics -- microgrid control system -- communication system delays -- power system operations -- GridLAB‐D simulation -- multitraffic communication system model -- multichannel communication system model; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0303
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : The development of smart grid technologies has resulted in increased interdependence between power and communication systems. Many of the operations in the existing power system rely on a stable and secured communication system. For electrically weak systems and time‐critical applications, this reliance can be even greater, where a small degradation in communication performance can degrade system stability. However, despite inter‐dependencies between power and communication systems, only a few studies have investigated the impacts of communication system performance on power system dynamics. This study investigates the dependencies of power system dynamics operations on a communication system performance. First, a detailed, dynamic networked microgrid model is developed in the GridLAB‐D simulation environment, along with a representative multi‐traffic, multi‐channel, multi‐protocol communication system model, developed in the network simulator (ns‐3). Second, a hierarchical engine for large‐scale infrastructure co‐simulation framework is developed to co‐simulate microgrid dynamics, its communication system, and a microgrid control system. The impact of communication system delays on the dynamic stability of networked microgrids is evaluated for the loss of generation using three use‐cases. While the example use‐cases examine microgrid applications and the impact to resiliency, the framework can be applied to all levels of power system operations.