Next Article in Journal
Tri-Axial Shear Tests on Hydrate-Bearing Sediments during Hydrate Dissociation with Depressurization
Previous Article in Journal
A Real Options Analysis for Renewable Energy Investment Decisions under China Carbon Trading Market
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Energies 2018, 11(7), 1818; https://doi.org/10.3390/en11071818

Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids

1
Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA
2
Rocky Mountain Institute, Boulder, CO 80302, USA
*
Author to whom correspondence should be addressed.
Received: 11 June 2018 / Revised: 29 June 2018 / Accepted: 10 July 2018 / Published: 11 July 2018
Full-Text   |   PDF [3035 KB, uploaded 11 July 2018]   |  

Abstract

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. View Full-Text
Keywords: microgrid; control; optimal microgrid; control; optimal
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Bunker, K.J.; Weaver, W.W. Optimal Multidimensional Droop Control for Wind Resources in DC Microgrids. Energies 2018, 11, 1818.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top