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Replacing Flat Rate Feed-In Tariffs for Rooftop Photovoltaic Systems With a Dynamic One to Consider Technical, Environmental, Social, and Geographical Factors

机译:考虑技术,环境,社会和地理因素的动态替代屋顶光伏系统的统一费率上网电价

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摘要

A flat rate feed-in tariff (FiT) is a traditional incentive offered by many utilities around the world to encourage their customers to invest in electricity generation from renewable sources such as rooftop photovoltaic systems (RPVs). It is designed by financial techniques that mostly consider the initial capital cost and electricity spot price. However, such an incentive cannot help the utilities to address the technical challenges in networks with large renewable penetration. In this paper, a dynamic FiT is designed based on the value of electricity, hosting capacity, ambient temperature, and time of day (ToD). The developed method uses fuzzy logic to convert these parameters into a timevarying FiT. This FiT will specifically support utilities that experience challenges in the electrification of remote areas or observe excessive stress on their networks at demand peak periods. The proposed FiT encourages the rural customers to install RPVs while discouraging the urban customers from installing RPVs without battery storages. The performance of the developed FiT is validated numerically and its capability is evaluated by analyzing the annual revenue, net present value, and payback periods.
机译:统一费率上网电价(FiT)是世界上许多公用事业公司提供的传统奖励措施,以鼓励其客户投资于可再生能源(例如屋顶光伏系统(RPV))进行发电。它是通过金融技术设计的,主要考虑初始资本成本和电现货价格。但是,这种激励措施无法帮助公用事业解决可再生能源普及率较高的网络中的技术挑战。在本文中,基于电量,承载能力,环境温度和一天中的时间(ToD)来设计动态FiT。所开发的方法使用模糊逻辑将这些参数转换为时变FiT。该FiT将专门为在偏远地区电气化方面遇到挑战或在需求高峰期对其网络造成过大压力的公用事业提供支持。拟议的上网电价补贴鼓励农村客户安装RPV,同时劝阻城市客户安装不带电池的RPV。已开发的FiT的性能通过数字进行了验证,并通过分析年收入,净现值和投资回收期来评估其能力。

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