ACES-Cosim: A Framework to Simulate Advanced Electric Distribution Systems for Controller Architecture Research Deepthi Vaidhynathan, Monte Lunacek, Wesley Jones - Computational Science Center, NREL

Background •  Power systems planning, operations, and control

algorithms are crucial to operate the grid robustly and reliably.

•  Distribution System Operators (DSO) currently rely on simulations using mathematical models.

•  With introduction of Distributed Energy Resources (DERs), it is essential to model the interaction of these powersystem components and their impact on the grid.[4]

ACES-Cosim •  The Advanced Computational Energy Systems (ACES) -

Cosim is an agent based modeling (ABM) framework used to study various central algorithms and supervisory controller algorithms and how they interact with each other and impact the grid under various network and load conditions.

•  ACES-Cosim is a framework that hosts the connection and evolution in time of controllers, high-fidelity thermal and power models, power system simulators, and hardware using a powerful discrete event simulator paradigm.

Multi-node & Multi-core

Hardware-In-the-Loop

Multi-language

HPC in Power systems Attributes Unified open source framework that enables: •  Integration with various powerflow solvers. •  Simulating complex equipment and feeder models. •  Testing different controllers through a modular

architecture. •  Validation through Hardware-in-the-loop (HIL). •  Monitoring and debugging via interactive real-time

visualization. •  Multi-core asynchronous execution of supervisory

controllers and equipment models.

References [1]Advanced Research Projects Agency – Energy Research Performance Progress Report: Network Optimized Distributed Energy Systems (NODES), Real-time optimization and control of next-generation distribution infrastructure.https://arpa-e.energy.gov/?q=slick-sheet-project/real-time-distributed-energy-resource-optimization [2]"Dynamic Set-point Control of Electric Hot Water Heater Tanks for Increased Integration of Solar Photovoltaic Systems” C. Birk Jones, Monte Lunacek, Matthew Lave, Jay Johnson, and Robert Broderick, Photovoltaic Specialists Conference, 2017 [3]Presentation: “ARPA-E Energy Summit in National Harbor”, 2017 [4]Banerjee B., Jayaweera D., Islam S. (2016) Modelling and Simulation of Power Systems. In: Jayaweera D. (eds) Smart Power Systems and Renewable Energy System Integration. Studies in Systems, Decision and Control, vol 57. Springer, Cham [5] http://w3.siemens.com/smartgrid/global/en/products-systems-solutions/software-solutions/planning-data-management-software/planning-simulation/PublishingImages/PSSE_contour.jpg ACES-Cosim architecture

Integrating PV, providing Voltage regulation and Power curtailment -NODES-RONIN[1][3]

IEEE 37 node feeder

Uncontrolled

Controlled: Voltage regulation and Power curtailment ACES-

Cosim

•  Multi-node parallelism for large numbers of controllers and equipment overcomes memory and compute resource bottleneck available on a single node.

•  Multi-language support for controller and equipment models in Matlab, Python, C, etc., encouraging wider use by domain experts.[2]

Cosim message bus

DSO

Equipment message passer

Powerflow message passer

Equipment message passer

Equipment message passer

Equipment message passer

HIL

Controller : Battery

Controller : Inverter

Controller : EV

Controller : House

Monitoringsystem:Real1meWebapp

Discrete Event

Simulator

PV Inverter model

Battery model

Hardware EV

Aggregated house model: EV+battery+PV Inverter

Powerflowmodule [5]