Fast Distributed Model Predictive Control for DC Microgrids

Lalit Kishore Marepalli; Kaushik Gajula; Luis Herrera

doi:10.1109/COMPEL49091.2020.9265746

Fast Distributed Model Predictive Control for DC Microgrids

Lalit Kishore Marepalli
, Kaushik Gajula
, Luis Herrera

Department of Electrical Engineering

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Model Predictive Control (MPC) is used to regulate the voltage and desired current flows in a dc microgrid. The optimization problem is solved using a distributed approach, the alternating direction method of multipliers (ADMM). A four node dc electric system with simplified dynamics and a six node network with 6 state source models are used as case studies. Computation times are comparedusing CVX, quadprog and mpcqpsolver. Real-time control hardware in the loop (CHIL) implementation using Opal RT and Simulink is demonstrated. The system can be extended to include higher dynamic models such as Modular Multilevel Converter (MMC) stations.

Original language	English
Title of host publication	2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728171609
DOIs	https://doi.org/10.1109/COMPEL49091.2020.9265746
State	Published - Nov 9 2020
Event	21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 - Aalborg, Denmark Duration: Nov 9 2020 → Nov 12 2020

Publication series

Name	2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

Conference

Conference	21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020
Country/Territory	Denmark
City	Aalborg
Period	11/9/20 → 11/12/20

Keywords

alternating direction method of multipliers
dc microgrids
distributed optimization
model predictive control

Access to Document

10.1109/COMPEL49091.2020.9265746

Cite this

Marepalli, L. K., Gajula, K., & Herrera, L. (2020). Fast Distributed Model Predictive Control for DC Microgrids. In 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020 Article 9265746 (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEL49091.2020.9265746

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title = "Fast Distributed Model Predictive Control for DC Microgrids",

abstract = "Model Predictive Control (MPC) is used to regulate the voltage and desired current flows in a dc microgrid. The optimization problem is solved using a distributed approach, the alternating direction method of multipliers (ADMM). A four node dc electric system with simplified dynamics and a six node network with 6 state source models are used as case studies. Computation times are comparedusing CVX, quadprog and mpcqpsolver. Real-time control hardware in the loop (CHIL) implementation using Opal RT and Simulink is demonstrated. The system can be extended to include higher dynamic models such as Modular Multilevel Converter (MMC) stations.",

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Marepalli, LK, Gajula, K & Herrera, L 2020, Fast Distributed Model Predictive Control for DC Microgrids. in 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020., 9265746, 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020, Institute of Electrical and Electronics Engineers Inc., 21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020, Aalborg, Denmark, 11/9/20. https://doi.org/10.1109/COMPEL49091.2020.9265746

Fast Distributed Model Predictive Control for DC Microgrids. / Marepalli, Lalit Kishore; Gajula, Kaushik; Herrera, Luis.
2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9265746 (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Fast Distributed Model Predictive Control for DC Microgrids

AU - Marepalli, Lalit Kishore

AU - Gajula, Kaushik

AU - Herrera, Luis

PY - 2020/11/9

Y1 - 2020/11/9

N2 - Model Predictive Control (MPC) is used to regulate the voltage and desired current flows in a dc microgrid. The optimization problem is solved using a distributed approach, the alternating direction method of multipliers (ADMM). A four node dc electric system with simplified dynamics and a six node network with 6 state source models are used as case studies. Computation times are comparedusing CVX, quadprog and mpcqpsolver. Real-time control hardware in the loop (CHIL) implementation using Opal RT and Simulink is demonstrated. The system can be extended to include higher dynamic models such as Modular Multilevel Converter (MMC) stations.

AB - Model Predictive Control (MPC) is used to regulate the voltage and desired current flows in a dc microgrid. The optimization problem is solved using a distributed approach, the alternating direction method of multipliers (ADMM). A four node dc electric system with simplified dynamics and a six node network with 6 state source models are used as case studies. Computation times are comparedusing CVX, quadprog and mpcqpsolver. Real-time control hardware in the loop (CHIL) implementation using Opal RT and Simulink is demonstrated. The system can be extended to include higher dynamic models such as Modular Multilevel Converter (MMC) stations.

KW - alternating direction method of multipliers

KW - dc microgrids

KW - distributed optimization

KW - model predictive control

UR - https://www.scopus.com/pages/publications/85098573701

U2 - 10.1109/COMPEL49091.2020.9265746

DO - 10.1109/COMPEL49091.2020.9265746

M3 - Conference contribution

AN - SCOPUS:85098573701

T3 - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

BT - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020

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Marepalli LK, Gajula K, Herrera L. Fast Distributed Model Predictive Control for DC Microgrids. In 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9265746. (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020). doi: 10.1109/COMPEL49091.2020.9265746

Fast Distributed Model Predictive Control for DC Microgrids

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