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

被引：16

作者：

Chen, Syuan-Yi ^{[1
]}

Chang, Chih-Hung ^{[1
]}

机构：

[1] Natl Taiwan Normal Univ, Dept Elect Engn, Taipei 106, Taiwan

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 2023年 / 38卷 / 01期

关键词：

Microgrids; Load flow; Equivalent circuits; DC-DC power converters; Costs; Renewable energy sources; Power generation; Home energy management system; artificial bee colony algorithm; rule-based control; residential microgrid; equivalent consumption minimization strategy; photovoltaic system; ARTIFICIAL BEE COLONY; ALGORITHM; STRATEGIES; PREDICTION;

D O I：

10.1109/TEC.2022.3198883

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：218 / 229

页数：12

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