Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids

The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various control strategies can be pursued for wind resources connected in microgrids, and droop control is a promising option since communication between microgrid comp...

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Main Authors: Kaitlyn J. Bunker, Wayne W. Weaver
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/7/1818
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author Kaitlyn J. Bunker
Wayne W. Weaver
author_facet Kaitlyn J. Bunker
Wayne W. Weaver
author_sort Kaitlyn J. Bunker
collection DOAJ
description The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various control strategies can be pursued for wind resources connected in microgrids, and droop control is a promising option since communication between microgrid components is not required. Traditional droop control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel droop control strategy, modifying the traditional approach and building an optimal droop surface at a higher dimension. A method for determining the optimal droop control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.
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spelling doaj.art-cbf9bd50abe04ac991e717f04696dc142022-12-22T02:07:34ZengMDPI AGEnergies1996-10732018-07-01117181810.3390/en11071818en11071818Optimal Multidimensional Droop Control for Wind Resources in DC MicrogridsKaitlyn J. Bunker0Wayne W. Weaver1Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USADepartment of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USAThe inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various control strategies can be pursued for wind resources connected in microgrids, and droop control is a promising option since communication between microgrid components is not required. Traditional droop control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel droop control strategy, modifying the traditional approach and building an optimal droop surface at a higher dimension. A method for determining the optimal droop control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.http://www.mdpi.com/1996-1073/11/7/1818microgridcontroloptimal
spellingShingle Kaitlyn J. Bunker
Wayne W. Weaver
Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
Energies
microgrid
control
optimal
title Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
title_full Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
title_fullStr Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
title_full_unstemmed Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
title_short Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids
title_sort optimal multidimensional droop control for wind resources in dc microgrids
topic microgrid
control
optimal
url http://www.mdpi.com/1996-1073/11/7/1818
work_keys_str_mv AT kaitlynjbunker optimalmultidimensionaldroopcontrolforwindresourcesindcmicrogrids
AT waynewweaver optimalmultidimensionaldroopcontrolforwindresourcesindcmicrogrids