研究目的
To design a dynamic feed-in tariff (FiT) that considers technical, environmental, social, and geographical factors to encourage rooftop photovoltaic (RPV) installations in remote areas and manage grid stress, replacing traditional flat rate FiTs.
研究成果
The proposed dynamic FiT effectively encourages RPV installations in remote areas by offering higher tariffs where electricity value is high, reduces payback periods to 3 years in rural areas, and discourages urban installations without storage. It helps utilities manage grid stress and achieve financial benefits, with positive net present values for rural customers.
研究不足
The study relies on simulated data and assumptions (e.g., fuzzy logic parameters, economic models); real-world implementation may face challenges such as data accuracy, utility acceptance, and regulatory hurdles. It focuses on Australia, limiting generalizability to other regions.
1：Experimental Design and Method Selection:
The study uses a fuzzy logic-based approach to design a dynamic FiT (DFiT) that incorporates short-span parameters (ambient temperature and time of day) and long-span parameters (value of electricity and hosting capacity). The design involves normalizing inputs, fuzzification, rule development, implication, and defuzzification to output a time-varying FiT.
2：Sample Selection and Data Sources:
Data is sourced from Australian utilities' reports, meteorological data, and solar home electricity data for various locations across Australia, including rural and urban areas.
3：List of Experimental Equipment and Materials:
No specific equipment or materials are mentioned; the study is numerical and simulation-based using data analysis.
4：Experimental Procedures and Operational Workflow:
Parameters are updated at intervals (e.g., every 15-60 minutes for short-span, every 6-12 months for long-span), processed through fuzzy logic to calculate DFiT, and economic analyses (NPV, PBP) are performed using financial models.
5：Data Analysis Methods:
Sensitivity analysis, box plots, and numerical evaluations are used to assess the DFiT's performance, including revenue increases and payback periods.
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