TY - GEN
T1 - Integrated Voltage and Frequency Support in Microgrids Using Droop and Model Predictive Control with Energy Storage Systems
AU - Bhujel, Niranjan
AU - Rai, Astha
AU - Hummels, Donald
AU - Tamrakar, Ujjwol
AU - Tonkoski, Reinaldo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Microgrids are unique due to their high R/X ratio, resulting in significant voltage sensitivity to both active and reactive power changes. However, their frequency is primarily affected by active power variations alone. This paper aims to address the challenges posed by this dichotomy by integrating input power coupling mechanisms into the control framework. The goal is to effectively mitigate interference between voltage and frequency as-pects in microgrids. To tackle the voltage and frequency deviations often seen in microgrids, this paper introduces a novel control framework that combines droop control and model predictive control (MPC). This integration allows for comprehensive voltage and frequency support using energy storage systems (ESS). A study using a simplified MATLAB/Simulink model demonstrates the potential of this approach. Additionally, various case studies highlight the framework's adaptability and versatility. Overall, this research contributes to enhancing microgrid stability and reliability, particularly in the presence of significant voltage and frequency fluctuations.
AB - Microgrids are unique due to their high R/X ratio, resulting in significant voltage sensitivity to both active and reactive power changes. However, their frequency is primarily affected by active power variations alone. This paper aims to address the challenges posed by this dichotomy by integrating input power coupling mechanisms into the control framework. The goal is to effectively mitigate interference between voltage and frequency as-pects in microgrids. To tackle the voltage and frequency deviations often seen in microgrids, this paper introduces a novel control framework that combines droop control and model predictive control (MPC). This integration allows for comprehensive voltage and frequency support using energy storage systems (ESS). A study using a simplified MATLAB/Simulink model demonstrates the potential of this approach. Additionally, various case studies highlight the framework's adaptability and versatility. Overall, this research contributes to enhancing microgrid stability and reliability, particularly in the presence of significant voltage and frequency fluctuations.
KW - droop
KW - energy storage system
KW - frequency support
KW - model predictive control
KW - voltage support
UR - http://www.scopus.com/inward/record.url?scp=85201733426&partnerID=8YFLogxK
U2 - 10.1109/SPEEDAM61530.2024.10609171
DO - 10.1109/SPEEDAM61530.2024.10609171
M3 - Conference contribution
AN - SCOPUS:85201733426
T3 - 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024
SP - 141
EP - 146
BT - 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024
Y2 - 19 June 2024 through 21 June 2024
ER -