MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing

Gusti Arif Hanifah Pawitan; Jung Su Kim

doi:10.1109/ACCESS.2019.2962807

MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing

Gusti Arif Hanifah Pawitan, Jung Su Kim

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

Due to the intrinsic intermittent nature of renewable energy source, their utility in a microgrid can be enhanced by adding an energy storage system (ESS). Using a lookup table type MPC (Model Predictive Control), this study presents an optimal charging and discharging algorithm for the ESS which consists of multiple energy storage unit (ESU). The algorithm is designed to enable the integration of renewable energy and an ESS to dispatch scheduled power while performing SoC (State of Charge) balancing for each ESU as well as satisfying the constraints on SoC and current limits in power converters. Simulation and experimental results using ultra-capacitors as ESUs in a DC microgrid are presented here to show the effectiveness of the proposed charging and discharging algorithm.

Original language	English
Article number	8945168
Pages (from-to)	12897-12906
Number of pages	10
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2019.2962807
State	Published - 2020

Keywords

capacity firming
DC microgrid
Energy storage system
model predictive control (MPC)
optimal charging/discharging algorithm
renewable energy integration
state of charge constraint

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2019.2962807

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title = "MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing",

abstract = "Due to the intrinsic intermittent nature of renewable energy source, their utility in a microgrid can be enhanced by adding an energy storage system (ESS). Using a lookup table type MPC (Model Predictive Control), this study presents an optimal charging and discharging algorithm for the ESS which consists of multiple energy storage unit (ESU). The algorithm is designed to enable the integration of renewable energy and an ESS to dispatch scheduled power while performing SoC (State of Charge) balancing for each ESU as well as satisfying the constraints on SoC and current limits in power converters. Simulation and experimental results using ultra-capacitors as ESUs in a DC microgrid are presented here to show the effectiveness of the proposed charging and discharging algorithm.",

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AB - Due to the intrinsic intermittent nature of renewable energy source, their utility in a microgrid can be enhanced by adding an energy storage system (ESS). Using a lookup table type MPC (Model Predictive Control), this study presents an optimal charging and discharging algorithm for the ESS which consists of multiple energy storage unit (ESU). The algorithm is designed to enable the integration of renewable energy and an ESS to dispatch scheduled power while performing SoC (State of Charge) balancing for each ESU as well as satisfying the constraints on SoC and current limits in power converters. Simulation and experimental results using ultra-capacitors as ESUs in a DC microgrid are presented here to show the effectiveness of the proposed charging and discharging algorithm.

KW - capacity firming

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KW - Energy storage system

KW - model predictive control (MPC)

KW - optimal charging/discharging algorithm

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MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing

Abstract

Keywords

UN SDGs

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