Litcius/Paper detail

Microgrid Controller Testing Using Power Hardware-in-the-Loop

Hiroshi Kikusato, Taha Selim Ustun, Masaichi Suzuki, Shuichi Sugahara, Jun Hashimoto, Kenji Otani, Kenji Shirakawa, Rina Yabuki, Ken Watanabe, Tatsuaki Shimizu

2020Energies27 citationsDOIOpen Access PDF

Abstract

Required functions of a microgrid become divers because there are many possible configurations that depend on the location. In order to effectively implement the microgrid system, which consists of a microgrid controller and components with distributed energy resources (DERs), thorough tests should be run to validate controller operation for possible operating conditions. Power-hardware-in-the-loop (PHIL) simulation is a validation method that allows different configurations and yields reliable results. However, PHIL configuration for testing the microgrid controller that can evaluate the communication between a microgrid controller and components as well as the power interaction among microgrid components has not been discussed. Additionally, the difference of the power rating of microgrid components between the deployment site and the test lab needs to be adjusted. In this paper, we configured the PHIL environment, which integrates various equipment in the laboratory with a digital real-time simulation (DRTS), to address these two issues of microgrid controller testing. The test in the configured PHIL environment validated two main functions of the microgrid controller, which supports the diesel generator set operations by controlling the DER, regarding single function and simultaneously activated multiple functions.

Topics & Concepts

MicrogridController (irrigation)Hardware-in-the-loop simulationDistributed generationControl engineeringDiesel generatorComputer sciencePower (physics)EngineeringEmbedded systemAutomotive engineeringRenewable energyElectrical engineeringDiesel fuelAgronomyQuantum mechanicsBiologyPhysicsReal-time simulation and control systemsMicrogrid Control and OptimizationSmart Grid Security and Resilience