TY - GEN
T1 - A real-time simulation testbed for hierarchical control of a renewable energy-based microgrid
AU - Mongrain, R. Scott
AU - Yu, Ziwei
AU - Ayyanar, Raja
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/6
Y1 - 2019/3/6
N2 - The continued rise of renewable energy sources (RES) and distributed generation (DG) necessitate and support the invention of smart grid technologies, among which communication and remote control are keystone features. Multilevel control strategies improve grid stability and provide the necessary flexibility to address changing demand, contingency, and DG variability. To test these strategies while avoiding damage to existing infrastructure or lab equipment, simulation is employed to facilitate large-scale control and protection applications. In this work, a multi-level control strategy is tested on a moderately large simulated network, using both physical and software-based controllers, in both local- and remote-control configurations. Additionally, an adaptation is made to typical control strategy to accommodate energy sharing amongst distributed resources.
AB - The continued rise of renewable energy sources (RES) and distributed generation (DG) necessitate and support the invention of smart grid technologies, among which communication and remote control are keystone features. Multilevel control strategies improve grid stability and provide the necessary flexibility to address changing demand, contingency, and DG variability. To test these strategies while avoiding damage to existing infrastructure or lab equipment, simulation is employed to facilitate large-scale control and protection applications. In this work, a multi-level control strategy is tested on a moderately large simulated network, using both physical and software-based controllers, in both local- and remote-control configurations. Additionally, an adaptation is made to typical control strategy to accommodate energy sharing amongst distributed resources.
UR - http://www.scopus.com/inward/record.url?scp=85063871165&partnerID=8YFLogxK
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U2 - 10.1109/TPEC.2019.8662133
DO - 10.1109/TPEC.2019.8662133
M3 - Conference contribution
AN - SCOPUS:85063871165
T3 - 2019 IEEE Texas Power and Energy Conference, TPEC 2019
BT - 2019 IEEE Texas Power and Energy Conference, TPEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Texas Power and Energy Conference, TPEC 2019
Y2 - 7 February 2019 through 8 February 2019
ER -