TY - JOUR
T1 - Optimal Power Flows Control for Home Energy Management With Renewable Energy and Energy Storage Systems
AU - Chen, Syuan Yi
AU - Chang, Chih Hung
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - This article presents a home energy management system (HEMS) based on the proposed adaptive artificial bee colony (AABC) optimization method, of managing a residential microgrid connected to the main grid. The studied microgrid consists of a photovoltaic system (PVS), a battery storage system (BSS), and electricity loads. The proposed AABC-based HEMS optimizes power flow ratio among PVS, BSS, and the main grid with respect to the load demand and electricity rate in order to minimize electricity consumption cost. Three dc-dc converters are actively controlled with an active dual-loop control architecture to dominate the power distribution among multi-power sources. The performances of the proposed optimal power flows control (PFC) under different electricity load levels and PVS generation conditions are examined. In the PFC experiments, the designed HEMS is implemented on a digital signal processor. The experimental results demonstrate the effectiveness and superiority of the proposed AABC-based HEMS compared with the rule-based control strategy and the equivalent consumption minimization strategy in terms of electricity consumption cost.
AB - This article presents a home energy management system (HEMS) based on the proposed adaptive artificial bee colony (AABC) optimization method, of managing a residential microgrid connected to the main grid. The studied microgrid consists of a photovoltaic system (PVS), a battery storage system (BSS), and electricity loads. The proposed AABC-based HEMS optimizes power flow ratio among PVS, BSS, and the main grid with respect to the load demand and electricity rate in order to minimize electricity consumption cost. Three dc-dc converters are actively controlled with an active dual-loop control architecture to dominate the power distribution among multi-power sources. The performances of the proposed optimal power flows control (PFC) under different electricity load levels and PVS generation conditions are examined. In the PFC experiments, the designed HEMS is implemented on a digital signal processor. The experimental results demonstrate the effectiveness and superiority of the proposed AABC-based HEMS compared with the rule-based control strategy and the equivalent consumption minimization strategy in terms of electricity consumption cost.
KW - Home energy management system
KW - artificial bee colony algorithm
KW - equiv- alent consumption minimization strategy
KW - photovoltaic system
KW - residential microgrid
KW - rule-based control
UR - http://www.scopus.com/inward/record.url?scp=85136863503&partnerID=8YFLogxK
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U2 - 10.1109/TEC.2022.3198883
DO - 10.1109/TEC.2022.3198883
M3 - Article
AN - SCOPUS:85136863503
SN - 0885-8969
VL - 38
SP - 218
EP - 229
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
IS - 1
ER -
