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

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

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 co...

Full description

Bibliographic Details
Main Authors: Gusti Arif Hanifah Pawitan, Jung-Su Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Energy storage system
optimal charging/discharging algorithm
model predictive control (MPC)
renewable energy integration
capacity firming
state of charge constraint
Online Access:https://ieeexplore.ieee.org/document/8945168/
id doaj-6142158a5e684060980d590753c85a74
record_format Article
spelling doaj-6142158a5e684060980d590753c85a742021-03-30T03:04:00ZengIEEEIEEE Access2169-35362020-01-018128971290610.1109/ACCESS.2019.29628078945168MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and BalancingGusti Arif Hanifah Pawitan0https://orcid.org/0000-0002-2396-8685Jung-Su Kim1https://orcid.org/0000-0002-5952-2917Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, South KoreaDepartment of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, South KoreaDue 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.https://ieeexplore.ieee.org/document/8945168/Energy storage systemoptimal charging/discharging algorithmmodel predictive control (MPC)renewable energy integrationcapacity firmingstate of charge constraint
collection DOAJ
language English
format Article
sources DOAJ
author Gusti Arif Hanifah Pawitan
Jung-Su Kim
spellingShingle Gusti Arif Hanifah Pawitan
Jung-Su Kim
MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
IEEE Access
Energy storage system
optimal charging/discharging algorithm
model predictive control (MPC)
renewable energy integration
capacity firming
state of charge constraint
author_facet Gusti Arif Hanifah Pawitan
Jung-Su Kim
author_sort Gusti Arif Hanifah Pawitan
title MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
title_short MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
title_full MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
title_fullStr MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
title_full_unstemmed MPC-Based Power Management of Renewable Generation Using Multi-ESS Guaranteeing SoC Constraints and Balancing
title_sort mpc-based power management of renewable generation using multi-ess guaranteeing soc constraints and balancing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description 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.
topic Energy storage system
optimal charging/discharging algorithm
model predictive control (MPC)
renewable energy integration
capacity firming
state of charge constraint
url https://ieeexplore.ieee.org/document/8945168/
work_keys_str_mv AT gustiarifhanifahpawitan mpcbasedpowermanagementofrenewablegenerationusingmultiessguaranteeingsocconstraintsandbalancing
AT jungsukim mpcbasedpowermanagementofrenewablegenerationusingmultiessguaranteeingsocconstraintsandbalancing
_version_ 1724184086515286016

Similar Items