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Title: Hierarchical control system for a flexible microgrid with dynamic boundary: design, implementation and testing

Abstract

The design, implementation, and testing of a control system for a flexible microgrid (MG) is presented in this study. The MG controllers can be implemented in a real-world MG with multiple smart switches, photovoltaic panel system, and battery energy storage systems (BESSs). With the benefits from smart switches, the MG has unique characteristics such as dynamic boundary and flexible point of interconnection (POI) concepts. To control such a unique MG and realise the dynamic boundary, an MG central controller and two types of local controllers are implemented. Compared to the MG with fixed boundary, the MG with dynamic boundary can have smaller BESS capacity, better utilisation of renewable energy, and multiple POI options. Also, compared with IEEE Std 2030.7–2017, the topology identification and active and reactive power balance functions are newly designed to realise the dynamic boundary concept. The planned islanding and reconnection functions are modified to realise the flexible POI concept. These functions are introduced including the software architecture, cooperation, and interaction among them. Finally, a hardware-in-the-loop testing platform based on the Opal-RT real-time simulator is set up to verify the performance, realisation of the dynamic boundary, and flexible POI concepts with four comprehensive test scenarios.

Authors:
 [1];  [1];  [1];  [2];  [1];  [3];  [4];  [4];  [4]
  1. Min H. Kao, Department of Electrical Engineering and Computer ScienceThe University of TennesseeKnoxvilleTN37996USA
  2. College of Electrical Engineering and Information Technology, Sichuan UniversityChengdu610065People's Republic of China
  3. Electric Power Board of Chattanooga (EPB)ChattanoogaTN37422USA
  4. Min H. Kao, Department of Electrical Engineering and Computer ScienceThe University of TennesseeKnoxvilleTN37996USA, Oak Ridge National LaboratoryOak RidgeTN37830USA
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E); National Science Foundation (NSF)
OSTI Identifier:
1742052
Alternate Identifier(s):
OSTI ID: 1761695; OSTI ID: 1786712
Grant/Contract Number:  
DE‐AR0000665; AC05-00OR22725; AR0000665; EEC1041877
Resource Type:
Published Article
Journal Name:
IET Smart Grid
Additional Journal Information:
Journal Name: IET Smart Grid Journal Volume: 2 Journal Issue: 4; Journal ID: ISSN 2515-2947
Publisher:
Institution of Engineering and Technology (IET)
Country of Publication:
United Kingdom
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; battery storage plants; distributed power generation; smart power grids; power distribution faults; IEEE standards; hierarchical systems; power distribution control; hierarchical control system; flexible microgrid; MG controllers; real-world MG; multiple smart switches; photovoltaic panel system; battery energy storage systems; flexible point; unique MG; MG central controller; local controllers; fixed boundary; dynamic boundary concept; flexible POI concept

Citation Formats

Yin, He, Ma, Yiwei, Zhu, Lin, Hu, Xiaotong, Su, Yu, Glass, Jim, Wang, Fred, Liu, Yilu, and Tolbert, Leon M. Hierarchical control system for a flexible microgrid with dynamic boundary: design, implementation and testing. United Kingdom: N. p., 2019. Web. doi:10.1049/iet-stg.2019.0115.
Yin, He, Ma, Yiwei, Zhu, Lin, Hu, Xiaotong, Su, Yu, Glass, Jim, Wang, Fred, Liu, Yilu, & Tolbert, Leon M. Hierarchical control system for a flexible microgrid with dynamic boundary: design, implementation and testing. United Kingdom. https://doi.org/10.1049/iet-stg.2019.0115
Yin, He, Ma, Yiwei, Zhu, Lin, Hu, Xiaotong, Su, Yu, Glass, Jim, Wang, Fred, Liu, Yilu, and Tolbert, Leon M. Mon . "Hierarchical control system for a flexible microgrid with dynamic boundary: design, implementation and testing". United Kingdom. https://doi.org/10.1049/iet-stg.2019.0115.
@article{osti_1742052,
title = {Hierarchical control system for a flexible microgrid with dynamic boundary: design, implementation and testing},
author = {Yin, He and Ma, Yiwei and Zhu, Lin and Hu, Xiaotong and Su, Yu and Glass, Jim and Wang, Fred and Liu, Yilu and Tolbert, Leon M.},
abstractNote = {The design, implementation, and testing of a control system for a flexible microgrid (MG) is presented in this study. The MG controllers can be implemented in a real-world MG with multiple smart switches, photovoltaic panel system, and battery energy storage systems (BESSs). With the benefits from smart switches, the MG has unique characteristics such as dynamic boundary and flexible point of interconnection (POI) concepts. To control such a unique MG and realise the dynamic boundary, an MG central controller and two types of local controllers are implemented. Compared to the MG with fixed boundary, the MG with dynamic boundary can have smaller BESS capacity, better utilisation of renewable energy, and multiple POI options. Also, compared with IEEE Std 2030.7–2017, the topology identification and active and reactive power balance functions are newly designed to realise the dynamic boundary concept. The planned islanding and reconnection functions are modified to realise the flexible POI concept. These functions are introduced including the software architecture, cooperation, and interaction among them. Finally, a hardware-in-the-loop testing platform based on the Opal-RT real-time simulator is set up to verify the performance, realisation of the dynamic boundary, and flexible POI concepts with four comprehensive test scenarios.},
doi = {10.1049/iet-stg.2019.0115},
journal = {IET Smart Grid},
number = 4,
volume = 2,
place = {United Kingdom},
year = {Mon Sep 30 00:00:00 EDT 2019},
month = {Mon Sep 30 00:00:00 EDT 2019}
}

Works referenced in this record:

Smart Grid — The New and Improved Power Grid: A Survey
journal, January 2012


Optimum Microgrid Design for Enhancing Reliability and Supply-Security
journal, September 2013

  • Arefifar, Seyed Ali; Mohamed, Yasser A. -R. I.; EL-Fouly, Tarek H. M.
  • IEEE Transactions on Smart Grid, Vol. 4, Issue 3
  • DOI: 10.1109/TSG.2013.2259854

Adaptive Self-Adequate Microgrids Using Dynamic Boundaries
journal, January 2016


Supply-Adequacy-Based Optimal Construction of Microgrids in Smart Distribution Systems
journal, September 2012

  • Arefifar, Seyed Ali; Mohamed, Yasser Abdel-Rady I.; El-Fouly, Tarek H. M.
  • IEEE Transactions on Smart Grid, Vol. 3, Issue 3
  • DOI: 10.1109/TSG.2012.2198246

Networked Microgrids: Exploring the Possibilities of the IIT-Bronzeville Grid
journal, July 2017

  • Shahidehpour, Mohammad; Li, Zhiyi; Bahramirad, Shay
  • IEEE Power and Energy Magazine, Vol. 15, Issue 4
  • DOI: 10.1109/MPE.2017.2688599

A dynamic optimization-based architecture for polygeneration microgrids with tri-generation, renewables, storage systems and electrical vehicles
journal, May 2015


A Framework for Load Service Restoration Using Dynamic Change in Boundaries of Advanced Microgrids With Synchronous-Machine DGs
journal, July 2018

  • Kim, Young-Jin; Wang, Jianhui; Lu, Xiaonan
  • IEEE Transactions on Smart Grid, Vol. 9, Issue 4
  • DOI: 10.1109/TSG.2016.2638854

Real-Time Control and Operation for a Flexible Microgrid with Dynamic Boundary
conference, September 2018


Distributed Secondary Control Strategy for Microgrid Operation with Dynamic Boundaries
journal, September 2019


CERTS Microgrid Laboratory Test Bed
journal, January 2011

  • Lasseter, R. H.; Eto, J. H.; Schenkman, B.
  • IEEE Transactions on Power Delivery, Vol. 26, Issue 1
  • DOI: 10.1109/TPWRD.2010.2051819

Utility Function-Based Real-Time Control of A Battery Ultracapacitor Hybrid Energy System
journal, February 2015

  • Yin, He; Zhao, Chen; Li, Mian
  • IEEE Transactions on Industrial Informatics, Vol. 11, Issue 1
  • DOI: 10.1109/TII.2014.2378596

Battery and backup generator sizing for a resilient microgrid under stochastic extreme events
journal, November 2018

  • Dong, Jiaojiao; Zhu, Lin; Su, Yu
  • IET Generation, Transmission & Distribution, Vol. 12, Issue 20
  • DOI: 10.1049/iet-gtd.2018.5883

Microgrid energy management system
conference, August 2016

  • Kowalczyk, Albert; Wlodarczyk, Adrian; Tarnawski, Jaroslaw
  • 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR)
  • DOI: 10.1109/MMAR.2016.7575125

Dynamics of an integrated solar photovoltaic and battery storage nanogrid for electric vehicle charging
journal, September 2018


Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review
journal, January 2014


Two-stage method for optimal island partition of distribution system with distributed generations
journal, January 2012

  • Jikeng, L.; Xudong, W.; Peng, W.
  • IET Generation, Transmission & Distribution, Vol. 6, Issue 3
  • DOI: 10.1049/iet-gtd.2010.0812

Adapting Bro into SCADA: building a specification-based intrusion detection system for the DNP3 protocol
conference, January 2013

  • Lin, Hui; Slagell, Adam; Di Martino, Catello
  • Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop on - CSIIRW '13
  • DOI: 10.1145/2459976.2459982

Autonomous Power Control in a Reconfigurable 6.78-MHz Multiple-Receiver Wireless Charging System
journal, August 2018

  • Yin, He; Fu, Minfan; Liu, Ming
  • IEEE Transactions on Industrial Electronics, Vol. 65, Issue 8
  • DOI: 10.1109/TIE.2017.2784338

Key Connections: The U.S. Department of Energy?s Microgrid Initiative
journal, July 2013