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, with MILP showing the smallest cost but requiring significantly higher computation time. The CR approach reduces computational complexity with little degradation in cost optimization. FLC is suggested as the best choice for real-life application due to reduced computation time, good performance in cost optimization, and no need for forecast data.
研究不足
The study acknowledges the computational intensity of MILP and the need for forecasting data for MILP and CR approaches, which may not be feasible for all practical applications. The FLC approach, while not requiring forecasting, may not achieve as optimal costs as MILP.
1：Experimental Design and Method Selection
The study compares three control strategies (MILP, CR, and FLC) for HEMS to optimize energy flow. The theoretical models include MILP for binary and continuous variables, CR to simplify MILP into LP, and FLC for approximate control without forecasting.
2：Sample Selection and Data Sources
Data for PV generation, outdoor temperature, hot water usage, and RTP were collected from the state of Illinois in USA during two days of October 2012. The CL is simulated based on references.
3：List of Experimental Equipment and Materials
HEMS-integrated devices including heating, task-specific, and energy storage devices. Parameters for appliances are detailed in the paper.
4：Experimental Procedures and Operational Workflow
The study involves coding MILP and CR with YALMILP and CPLEX v12.1.4, and FLC within MATLAB. All codes were run on an Intel Core-i5 2.5-GHz computer.
5：Data Analysis Methods
Performance of each control strategy is evaluated against cost optimization, computational resource, and practical implementation.
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