研究目的
Investigating the effectiveness of three control strategies (MILP, CR, and FLC) for optimized energy flow with home energy management system (HEMS)-integrated devices.
研究成果
All three control strategies (MILP, CR, and FLC) can optimize energy consumption close to ideal cost. MILP generally showed the smallest cost but required significantly higher computation time. The CR approach reduced the computational complexity with little degradation in terms of achieved cost optimization. FLC is suggested to be the best choice for real-life application due to much reduced computation time, good performance in cost optimization, and no need for forecast data.
研究不足
The study is limited to the specific setup and data collected from the state of Illinois in USA during two days of October 2012. The performance of the control strategies may vary under different conditions or with different datasets.
1:Experimental Design and Method Selection
Three approaches (MILP, CR, and FLC) are proposed for rolling optimization by the HEMS to control and monitor three types of managed devices: heating, task-specific, and energy storage devices.
2:Sample Selection and Data Sources
Data for PV generation, outdoor temperature, hot water usage, and the RTP were collected from the same place in the state of Illinois in USA during two days of October 2012. The CL is simulated according to [20] and [21].
3:List of Experimental Equipment and Materials
HEMS-integrated devices including heating, task-specific, and energy storage devices. Parameters for appliances are detailed in Table 6.
4:Experimental Procedures and Operational Workflow
At the beginning of each interval, rolling optimization is calculated and the optimized schedule for the current interval is updated for the real-time control strategy. Three different approaches (MILP, CR, and FLC) are presented for the rolling optimization.
5:Data Analysis Methods
Each control strategy is evaluated against cost optimization, computational resource, and practical implementation.
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