研究目的
To improve the reliability of the PV-PHS hybrid system by reducing the all-day load loss and the hourly load loss which is above the threshold of 50% using particle swarm optimization.
研究成果
The proposed optimal operation strategy based on PSO can effectively reduce the all-day load loss and improve the reliability of the PV-PHS hybrid system. The proper capacity of the PHS is crucial to achieve minimum all-day load loss, with optimal capacities identified for both winter and summer weekdays.
研究不足
The study does not account for the uncertainness of the load demand and the unpredictability of the solar-intensity. The cost and the reliability of the PV-PHS hybrid system are not considered in this study.
1：Experimental Design and Method Selection:
The study employs particle swarm optimization (PSO) to optimize the operation of a PV-PHS hybrid system.
2：Sample Selection and Data Sources:
Two scenarios, a winter weekday and a summer weekday, are selected for analysis.
3：List of Experimental Equipment and Materials:
The system includes PV power generation, pumped hydro storage (two reservoirs, pumps and turbines), and a control center.
4：Experimental Procedures and Operational Workflow:
The PSO algorithm is used to find the optimal operation strategy for the PHS to minimize all-day load loss.
5：Data Analysis Methods:
The effectiveness of the proposed strategy is evaluated based on the reduction in all-day load loss and the hourly load loss above the threshold.
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