Optimal Power Flows Control for Home Energy Management With Renewable Energy and Energy Storage Systems

Syuan Yi Chen*, Chih Hung Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)218-229
Number of pages12
JournalIEEE Transactions on Energy Conversion
Issue number1
Publication statusPublished - 2023 Mar 1


  • Home energy management system
  • artificial bee colony algorithm
  • equiv- alent consumption minimization strategy
  • photovoltaic system
  • residential microgrid
  • rule-based control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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