TY - GEN
T1 - Optimal Home Energy Management System for a Residential Grid-Connected Microgrid using Improved Slime Mould Algorithm
AU - Chen, Syuan Yi
AU - Chen, Pin Jung
AU - Chen, Chi Cheng
AU - Wu, Chih Ting
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study presents a home energy management system (HEMS) utilizing an improved slime mould algorithm (ISMA) for the efficient energy management of a residential grid-connected microgrid. The studied microgrid comprises a photovoltaic system (PVS), a battery storage system (BSS), two DC-DC converters, a DC-AC voltage source inverter (VSI), a YY three-phase transformer, and varying electricity loads. The proposed ISMA-based HEMS optimizes the power flow ratio among the PVS, BSS, and the utility grid, taking into account factors including load demand, battery’s state of charge (SOC), PVS power, time-of-use (TOU) electricity rates, feed-in tariffs, and the electricity costs of both battery and utility grid to minimize overall electricity costs. To achieve the control object, the system incorporates advanced power flow control (PFC) techniques for the voltage source inverter (VSI) and parallel converter system (PCS) within the microgrid. The performance of the ISMA-based HEMS is evaluated through experimental validation on a practical microgrid platform. Results indicate that the ISMA-based HEMS significantly reduces electricity costs compared to rule-based control strategy.
AB - This study presents a home energy management system (HEMS) utilizing an improved slime mould algorithm (ISMA) for the efficient energy management of a residential grid-connected microgrid. The studied microgrid comprises a photovoltaic system (PVS), a battery storage system (BSS), two DC-DC converters, a DC-AC voltage source inverter (VSI), a YY three-phase transformer, and varying electricity loads. The proposed ISMA-based HEMS optimizes the power flow ratio among the PVS, BSS, and the utility grid, taking into account factors including load demand, battery’s state of charge (SOC), PVS power, time-of-use (TOU) electricity rates, feed-in tariffs, and the electricity costs of both battery and utility grid to minimize overall electricity costs. To achieve the control object, the system incorporates advanced power flow control (PFC) techniques for the voltage source inverter (VSI) and parallel converter system (PCS) within the microgrid. The performance of the ISMA-based HEMS is evaluated through experimental validation on a practical microgrid platform. Results indicate that the ISMA-based HEMS significantly reduces electricity costs compared to rule-based control strategy.
KW - grid-connected microgrid
KW - Home energy management system
KW - photovoltaic system
KW - rule-based control
KW - slime mould algorithm
KW - voltage source inverter
UR - http://www.scopus.com/inward/record.url?scp=85214974616&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85214974616&partnerID=8YFLogxK
U2 - 10.1109/RASSE64357.2024.10773653
DO - 10.1109/RASSE64357.2024.10773653
M3 - Conference contribution
AN - SCOPUS:85214974616
T3 - RASSE 2024 - 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings
BT - RASSE 2024 - 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Recent Advances in Systems Science and Engineering, RASSE 2024
Y2 - 6 November 2024 through 8 November 2024
ER -
