Energy storage requirements of dc microgrids with high penetration renewables under droop control

Weaver, Wayne W.; Robinett, Rush D.; Parker, Gordon G.; Wilson, David G.

doi:10.1016/j.ijepes.2014.12.070

Energy storage requirements of dc microgrids with high penetration renewables under droop control

Journal Article · Thu Jan 08 23:00:00 EST 2015 · International Journal of Electrical Power and Energy Systems

DOI:https://doi.org/10.1016/j.ijepes.2014.12.070· OSTI ID:1123297

Weaver, Wayne W. ^[1]; Robinett, Rush D. ^[1]; Parker, Gordon G. ^[1]; Wilson, David G. ^[2]

Michigan Technological Univ., Houghton, MI (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Energy storage is a important design component in microgrids with high penetration renewable sources to maintain the system because of the highly variable and sometimes stochastic nature of the sources. Storage devices can be distributed close to the sources and/or at the microgrid bus. In addition, storage requirements can be minimized with a centralized control architecture, but this creates a single point of failure. Distributed droop control enables a completely decentralized architecture but, the energy storage optimization becomes more difficult. Our paper presents an approach to droop control that enables the local and bus storage requirements to be determined. Given a priori knowledge of the design structure of a microgrid and the basic cycles of the renewable sources, we found that the droop settings of the sources are such that they minimize both the bus voltage variations and overall energy storage capacity required in the system. This approach can be used in the design phase of a microgrid with a decentralized control structure to determine appropriate droop settings as well as the sizing of energy storage devices.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1123297

Alternate ID(s):: OSTI ID: 1433585

Report Number(s):: SAND--2013-10581J; PII: S0142061514007972

Journal Information:: International Journal of Electrical Power and Energy Systems, Journal Name: International Journal of Electrical Power and Energy Systems Journal Issue: C Vol. 68; ISSN 0142-0615

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (17)

Supervision control for optimal energy cost management in DC microgrid: Design and simulation Sechilariu, Manuela; Wang, Bao Chao; Locment, Fabrice International Journal of Electrical Power & Energy Systems, Vol. 58 https://doi.org/10.1016/j.ijepes.2014.01.018	journal	June 2014
Compensation of droop control using common load condition in DC microgrids to improve voltage regulation and load sharing Yang, Nanfang; Paire, Damien; Gao, Fei International Journal of Electrical Power & Energy Systems, Vol. 64 https://doi.org/10.1016/j.ijepes.2014.07.079	journal	January 2015
Expandable multiterminal DC systems based on voltage droop Johnson, B. K.; Lasseter, R. H.; Alvarado, F. L. IEEE Transactions on Power Delivery, Vol. 8, Issue 4 https://doi.org/10.1109/61.248304	journal	January 1993
On the use of averaging for the analysis of power electronic systems Krein, P. T.; Bentsman, J.; Bass, R. M. IEEE Transactions on Power Electronics, Vol. 5, Issue 2 https://doi.org/10.1109/63.53155	journal	April 1990
Nonlinear power flow control design for combined conventional and variable generation systems: Part I-theory Robinett, Rush D.; Wilson, David G. Control (MSC), 2011 IEEE International Conference on Control Applications (CCA) https://doi.org/10.1109/CCA.2011.6044377	conference	September 2011
Collective control of networked microgrids with high penetration of variable resources part I: Theory Robinett, Rush D.; Wilson, David G.; Goldsmith, Steven Y. 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) https://doi.org/10.1109/CYBER.2012.6392516	conference	May 2012
Gain-scheduling-based droop control for universal operation of small wind turbine systems Nagliero, A.; Mastromauro, R. A.; Ricchiuto, D. 2011 IEEE 20th International Symposium on Industrial Electronics (ISIE), 2011 IEEE International Symposium on Industrial Electronics https://doi.org/10.1109/ISIE.2011.5984375	conference	June 2011
Micro Grid Integration Opportunities and Challenges Nigim, Khaled A.; Lee, Wei-Jen 2007 IEEE Power Engineering Society General Meeting https://doi.org/10.1109/PES.2007.385669	conference	June 2007
DC microgrid optimal storage distribution using a conductance and energy state modeling approach Heath, Matthew; Vosters, Gregory; Parker, Gordon 2012 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2012), International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion https://doi.org/10.1109/SPEEDAM.2012.6264630	conference	June 2012
Renewable energy microgrid control with energy storage integration Wilson, David G.; Robinett, Rush D.; Goldsmith, Steven Y. 2012 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2012), International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion https://doi.org/10.1109/SPEEDAM.2012.6264634	conference	June 2012
Combining the Wind Power Generation System With Energy Storage Equipment Lu, Ming-Shun; Chang, Chung-Liang; Lee, Wei-Jen IEEE Transactions on Industry Applications, Vol. 45, Issue 6, p. 2109-2115 https://doi.org/10.1109/TIA.2009.2031937	journal	September 2009
Advanced Control Architectures for Intelligent Microgrids—Part I: Decentralized and Hierarchical Control Guerrero, Josep M.; Chandorkar, Mukul; Lee, Tzung-Lin IEEE Transactions on Industrial Electronics, Vol. 60, Issue 4 https://doi.org/10.1109/TIE.2012.2194969	journal	April 2013
Advanced Control Architectures for Intelligent Microgrids—Part II: Power Quality, Energy Storage, and AC/DC Microgrids Guerrero, Josep M.; Loh, Poh Chiang; Lee, Tzung-Lin IEEE Transactions on Industrial Electronics, Vol. 60, Issue 4 https://doi.org/10.1109/TIE.2012.2196889	journal	April 2013
State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications Lu, Xiaonan; Sun, Kai; Guerrero, Josep M. IEEE Transactions on Industrial Electronics, Vol. 61, Issue 6 https://doi.org/10.1109/TIE.2013.2279374	journal	June 2014
Control and Operation of a DC Microgrid With Variable Generation and Energy Storage Xu, Lie; Chen, Dong IEEE Transactions on Power Delivery, Vol. 26, Issue 4 https://doi.org/10.1109/TPWRD.2011.2158456	journal	October 2011
Battery Energy Storage for Enabling Integration of Distributed Solar Power Generation Hill, Cody A.; Such, Matthew Clayton; Chen, Dongmei IEEE Transactions on Smart Grid, Vol. 3, Issue 2 https://doi.org/10.1109/TSG.2012.2190113	journal	June 2012
Microgrid Generation Capacity Design With Renewables and Energy Storage Addressing Power Quality and Surety Fu, Qiang; Montoya, Luis F.; Solanki, Ashish IEEE Transactions on Smart Grid, Vol. 3, Issue 4 https://doi.org/10.1109/TSG.2012.2223245	journal	December 2012

Cited By (3)

Comparison of basic droop control with linear and nonlinear internal control of boost converters feeding resistive load Moussa, Sonia; Jebali Ben Ghorbal, Manel; Slama-Belkhodja, Ilhem SN Applied Sciences, Vol. 2, Issue 2 https://doi.org/10.1007/s42452-020-2015-x	journal	January 2020
Isolated bidirectional DC-to-three-phase AC converter for integration of renewable energy sources to electric grid Bosso, Jonathan E.; Llomplat, Marcelo; Oggier, Germán Gustavo IET Power Electronics, Vol. 12, Issue 8 https://doi.org/10.1049/iet-pel.2018.6066	journal	July 2019
Droop Control in DQ Coordinates for Fixed Frequency Inverter-Based AC Microgrids Toub, Mohamed; Bijaieh, Mehrzad M.; Weaver, Wayne W. Electronics, Vol. 8, Issue 10 https://doi.org/10.3390/electronics8101168	journal	October 2019

Similar Records

Enabling Secure Scalable Microgrids with High Penetration Renewables

Technical Report · Sat Feb 28 23:00:00 EST 2015 · OSTI ID:1177601

Fault Current Control and Protection in a Standalone DC Microgrid Using Adaptive Droop and Current Derivative

Journal Article · Tue Mar 31 00:00:00 EDT 2020 · IEEE Journal of Emerging and Selected Topics in Power Electronics · OSTI ID:1870482

Related Subjects

25 ENERGY STORAGE
control
energy storage
microgrid
optimization

Energy storage requirements of dc microgrids with high penetration renewables under droop control

Citation Formats

References (17)

Cited By (3)

Similar Records

Related Subjects