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Risk-sensitive investment in renewable distributed generation under uncertainty due to post-feed-in tariff policy

机译:由于后上网电价政策的不确定性,对可再生分布式发电的风险敏感投资

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We model a risk-sensitive investment strategy in renewable distributed generation. The risk arises from the uncertainty regarding what feed-in tariff (FIT) rates or payment structure may be adopted once an initial stable duration is over. We develop a scenario-based approach where investors can choose to follow a degree of risk aversion that best suits them. We show that FIT policies should ensure a minimum stable duration and rate for investors to obtain a positive return over investment and thus nontrivial investment decisions. This methodology could help policy makers in proposing FIT programs that are consistent with the investors' interest and that thus promote rapid and sustainable growth of renewable and encourage technological innovation well beyond the risk-free FIT rate period. We illustrate our proposed method with a case study on a 50 MW solar photovoltaic system.
机译:我们对可再生分布式发电中的风险敏感投资策略进行建模。一旦初始稳定期限结束,不确定采用何种上网电价(FIT)费率或付款结构的不确定性就产生了风险。我们开发了一种基于场景的方法,投资者可以选择遵循最适合他们的一定程度的风险规避。我们表明,散客信托政策应确保投资者获得稳定的最小投资期限和利率,以获得投资的正收益,从而获得非平凡的投资决策。这种方法可以帮助政策制定者提出符合投资者利益的FIT计划,从而促进可再生能源的快速和可持续增长,并在远远超过无风险FIT利率期限的前提下鼓励技术创新。我们以50 MW太阳能光伏系统为例,说明了我们提出的方法。

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