Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants

Omar Abu-Rub; Suman Debnath; Phani Marthi; Maryam Saeedifard

doi:10.1109/SusTech57309.2023.10129604

Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants

Omar Abu-Rub, Suman Debnath, Phani Marthi, Maryam Saeedifard

Power Systems Resilience

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

2 Scopus citations

Abstract

Increased penetration level of inverter-based resources (IBRs) and renewable energy in the power grid has called for more requirements from the control of IBRs. In this paper, the voltage-reactive power control of a photovoltaic (PV) power plant or hybrid PV-battery energy storage system (BESS) plant connected to a bulk power grid, whilst meeting the grid requirements, is studied. In this paper, a continuous-set model predictive control (MPC) formulation is proposed for voltage-reactive power control. For the same, an aggregated dynamic PV plant model is developed based on the recursive system equivalencing method. The formulation is then implemented in PSCAD simulation on a 125 MW PV plant or hybrid PV-BESS plant. The MPC implementation achieves 10.13% voltage improvement based on PSCAD simulation results in a balanced fault case study. Simulation results further demonstrate that MPC provides improved voltage support over the conventional proportional-integral (PI) controller post-fault occurrence.

Original language	English
Title of host publication	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	75-79
Number of pages	5
ISBN (Electronic)	9798350345483
DOIs	https://doi.org/10.1109/SusTech57309.2023.10129604
State	Published - 2023
Event	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023 - Portland, United States Duration: Apr 19 2023 → Apr 22 2023

Publication series

Name	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023

Conference

Conference	2023 IEEE Conference on Technologies for Sustainability, SusTech 2023
Country/Territory	United States
City	Portland
Period	04/19/23 → 04/22/23

Funding

Research sponsored by Solar Energy Technologies Office of U.S. Department of Energy. This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office Award Number 36532. The views expressed herein do not necessarily represent the views of the U.S. Department of Energy or the United States Government.

Keywords

EMT simulations
IBR
MPC
PV plant

Access to Document

10.1109/SusTech57309.2023.10129604

Cite this

Abu-Rub, O., Debnath, S., Marthi, P., & Saeedifard, M. (2023). Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants. In 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023 (pp. 75-79). (2023 IEEE Conference on Technologies for Sustainability, SusTech 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SusTech57309.2023.10129604

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title = "Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants",

abstract = "Increased penetration level of inverter-based resources (IBRs) and renewable energy in the power grid has called for more requirements from the control of IBRs. In this paper, the voltage-reactive power control of a photovoltaic (PV) power plant or hybrid PV-battery energy storage system (BESS) plant connected to a bulk power grid, whilst meeting the grid requirements, is studied. In this paper, a continuous-set model predictive control (MPC) formulation is proposed for voltage-reactive power control. For the same, an aggregated dynamic PV plant model is developed based on the recursive system equivalencing method. The formulation is then implemented in PSCAD simulation on a 125 MW PV plant or hybrid PV-BESS plant. The MPC implementation achieves 10.13% voltage improvement based on PSCAD simulation results in a balanced fault case study. Simulation results further demonstrate that MPC provides improved voltage support over the conventional proportional-integral (PI) controller post-fault occurrence.",

keywords = "EMT simulations, IBR, MPC, PV plant",

author = "Omar Abu-Rub and Suman Debnath and Phani Marthi and Maryam Saeedifard",

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year = "2023",

doi = "10.1109/SusTech57309.2023.10129604",

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series = "2023 IEEE Conference on Technologies for Sustainability, SusTech 2023",

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Abu-Rub, O, Debnath, S , Marthi, P & Saeedifard, M 2023, Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants. in 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023. 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023, Institute of Electrical and Electronics Engineers Inc., pp. 75-79, 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023, Portland, United States, 04/19/23. https://doi.org/10.1109/SusTech57309.2023.10129604

Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants. / Abu-Rub, Omar; Debnath, Suman ; Marthi, Phani et al.
2023 IEEE Conference on Technologies for Sustainability, SusTech 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 75-79 (2023 IEEE Conference on Technologies for Sustainability, SusTech 2023).

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

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AU - Marthi, Phani

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PY - 2023

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N2 - Increased penetration level of inverter-based resources (IBRs) and renewable energy in the power grid has called for more requirements from the control of IBRs. In this paper, the voltage-reactive power control of a photovoltaic (PV) power plant or hybrid PV-battery energy storage system (BESS) plant connected to a bulk power grid, whilst meeting the grid requirements, is studied. In this paper, a continuous-set model predictive control (MPC) formulation is proposed for voltage-reactive power control. For the same, an aggregated dynamic PV plant model is developed based on the recursive system equivalencing method. The formulation is then implemented in PSCAD simulation on a 125 MW PV plant or hybrid PV-BESS plant. The MPC implementation achieves 10.13% voltage improvement based on PSCAD simulation results in a balanced fault case study. Simulation results further demonstrate that MPC provides improved voltage support over the conventional proportional-integral (PI) controller post-fault occurrence.

AB - Increased penetration level of inverter-based resources (IBRs) and renewable energy in the power grid has called for more requirements from the control of IBRs. In this paper, the voltage-reactive power control of a photovoltaic (PV) power plant or hybrid PV-battery energy storage system (BESS) plant connected to a bulk power grid, whilst meeting the grid requirements, is studied. In this paper, a continuous-set model predictive control (MPC) formulation is proposed for voltage-reactive power control. For the same, an aggregated dynamic PV plant model is developed based on the recursive system equivalencing method. The formulation is then implemented in PSCAD simulation on a 125 MW PV plant or hybrid PV-BESS plant. The MPC implementation achieves 10.13% voltage improvement based on PSCAD simulation results in a balanced fault case study. Simulation results further demonstrate that MPC provides improved voltage support over the conventional proportional-integral (PI) controller post-fault occurrence.

KW - EMT simulations

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Abu-Rub O, Debnath S , Marthi P, Saeedifard M. Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants. In 2023 IEEE Conference on Technologies for Sustainability, SusTech 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 75-79. (2023 IEEE Conference on Technologies for Sustainability, SusTech 2023). doi: 10.1109/SusTech57309.2023.10129604

Model Predictive Voltage Control of Large-Scale PV or Hybrid PV-BESS Plants

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