微电网
光伏系统
计算机科学
能源管理
独立电源系统
可再生能源
能源管理系统
汽车工程
电
储能
调峰发电厂
分布式发电
功率(物理)
电气工程
能量(信号处理)
工程类
物理
统计
量子力学
数学
作者
Syuan‐Yi Chen,Chih-Hung Chang
出处
期刊:IEEE Transactions on Energy Conversion
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:38 (1): 218-229
被引量:4
标识
DOI:10.1109/tec.2022.3198883
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.
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