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

Syuan Yi Chen, Chih Hung Chang

研究成果: 雜誌貢獻期刊論文同行評審

摘要

This study presents a home energy management system (HEMS) based on the proposed adaptive artificial bee colony (AABC) optimization method, with the aim 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.

原文英語
頁(從 - 到)1-11
頁數11
期刊IEEE Transactions on Energy Conversion
DOIs
出版狀態接受/付印 - 2022

ASJC Scopus subject areas

  • 能源工程與電力技術
  • 電氣與電子工程

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