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A hybrid algorithm for parameter estimation (HAPE) for dynamic constant power loads

November 1, 2021
  |
Journal Article
Author:
Matthew Overlin
…
Published in:
IEEE Trans. Ind. Electron., Vol. 68, No. 11, November 2021, pp. 10326-35.
Topic:
microgrids
R&D area:
R&D group:

Summary

Low-inertia microgrids may easily have a single load which can make up most of the total load, thereby greatly affecting stability and power quality. Instead of a static load model, a dynamic constant power load (DCPL) model is considered here. Next, a hybrid algorithm for parameter estimation (HAPE) is introduced. In order to verify the load model and the HAPE, two experiments are conducted with different DCPLs using a Power-Hardwarein-the-Loop (PHiL) testbed. The PHiL testbed consists of a real-time computer working with a programmable power amplifier in order to perturb the input voltage's amplitude and frequency. Each connected DCPL in two separate experiments serves as the device under test (DUT). Using the captured experimental data as a reference, the HAPE is then invoked. The resulting parameter estimates are used to define simulation models. Both resulting DCPL models are simulated to produce waveforms that closely resemble experimental waveforms. Finally, the HAPE's resulting parameter estimates are presented, and the performance of the HAPE is discussed.
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Summary

Low-inertia microgrids may easily have a single load which can make up most of the total load, thereby greatly affecting stability and power quality. Instead of a static load model, a dynamic constant power load (DCPL) model is considered here. Next, a hybrid algorithm for parameter estimation (HAPE) is introduced...

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A hybrid algorithm for parameter estimation (HAPE) for dynamic constant power loads

Modeling and distributed control of microgrids: a negative feedback approach

December 11, 2019
  |
Conference Paper
Author:
null
…
Published in:
2019 IEEE 58th Conf. on Decision and Control, CDC, 11-13 December 2019.
Topic:
microgrids
R&D area:
R&D group:

Summary

In this paper, we first show how general microgrid can be modeled as a negative feedback configuration comprising two subsystems. The first subsystem is the interconnected microgrid grid which is affected through negative feedback by the second subsystem consisting of all single-port components. This is modeled by transforming physical state variables into energy state variables and by systematically defining input and output of system components in this transformed state space. We next draw on the fact that for this basic feedback configuration there exist several types of conditions regarding subsystem properties which ensure overall system properties. In particular, we utilize dissipativity theory to propose a subsystem nonlinear control design for heterogeneous resource components comprising microgrids so that they jointly result in a closed-loop feasible and stable dynamical system for given ranges of system disturbances.
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Summary

In this paper, we first show how general microgrid can be modeled as a negative feedback configuration comprising two subsystems. The first subsystem is the interconnected microgrid grid which is affected through negative feedback by the second subsystem consisting of all single-port components. This is modeled by transforming physical state...

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Modeling and distributed control of microgrids: a negative feedback approach

An Eye on the Storm: Tracking Power Outages via the Internet of Things

October 4, 2019
  |
Conference Paper
Author:
Kendra J. Kratkiewicz
Published in:
Grace Hopper Celebration 2019 [submitted]
Topic:
microgrids
R&D area:
R&D group:

Summary

Assessing the extent of power outages in the wake of disasters is a crucial but daunting challenge. We developed a prototype to estimate and map the severity and location of power outages throughout an event by taking advantage of IoT as a non-traditional power-sensing network. We present results used by FEMA and other responders during multiple major hurricanes, such as Harvey, Irma, and Maria.
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Summary

Assessing the extent of power outages in the wake of disasters is a crucial but daunting challenge. We developed a prototype to estimate and map the severity and location of power outages throughout an event by taking advantage of IoT as a non-traditional power-sensing network. We present results used by...

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An Eye on the Storm: Tracking Power Outages via the Internet of Things

Banshee distribution network benchmark and prototyping platform for hardware-in-the-loop integration of microgrid and device controllers

April 29, 2019
  |
Journal Article
Author:
Reynaldo O. Salcedo Ulerio
…
Published in:
J. Eng., Vol. 2019, No. 8, pp. 5365-73.
Topic:
microgrids
R&D area:

Summary

This article provides a unique benchmark to integrate and systematically evaluate advanced functionalities of microgrid and downstream device controllers. The article describes Banshee, a real-life power distribution network. It also details a real-time controller hardware-in-the-loop (HIL) prototyping platform to test the responses of the controllers and verify decision-making algorithms. The benchmark aims to address power industry needs for a common basis to integrate and evaluate controllers for the overall microgrid, distributed energy resources (DERs), and protective devices. The test platform will accelerate microgrid deployment, enable standard compliance verification, and further develop and test controllers' functionalities. These contributions will facilitate safe and economical demonstrations of the state-of-the-possible while verifying minimal impact to existing electrical infrastructure. All aspects of the benchmark and platform development including models, configuration files, and documentation are publicly available via the electric power HIL controls collaborative (EPHCC).
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Summary

This article provides a unique benchmark to integrate and systematically evaluate advanced functionalities of microgrid and downstream device controllers. The article describes Banshee, a real-life power distribution network. It also details a real-time controller hardware-in-the-loop (HIL) prototyping platform to test the responses of the controllers and verify decision-making algorithms. The...

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Banshee distribution network benchmark and prototyping platform for hardware-in-the-loop integration of microgrid and device controllers
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