文件夹
可再生能源
可再生能源组合标准
投资(军事)
投资策略
风力发电
环境经济学
业务
经济
财务
能源政策
上网电价
工程类
电气工程
市场流动性
法学
政治
政治学
作者
Mingming Zhang,Yamei Tang,Liyun Liu,Dequn Zhou
标识
DOI:10.1016/j.rser.2021.111879
摘要
Planning a portfolio that includes different power generation technologies is an important method to ensure expected value and to reduce risks for the project investment of electric-power enterprises. This paper evaluates the optimal investment portfolio strategies implemented by electric power enterprises by using real option and portfolio optimization methods. The real options method is used to generate investment values and their distribution. These serve as the input variables of the portfolio optimization model. The portfolio optimization model is built based on the conditional value at risk. The optimal investment is analyzed by considering four policy scenarios: different expected investment values, the phase-out of subsidies, tightened carbon reduction standards, and different initial renewable energy certificate prices. A case study is conducted to analyze the investment decision of an electric power enterprise in China. The results show the optimal investment portfolio strategy, the investment value, and the conditional value at risk. The optimal decision for ensuring a relatively high expected value while reducing risks is to increase the share of solar PV power generation and wind power generation in current conditions. Tightened carbon reduction standards and higher renewable energy certificates prices are conductive to increase the investment value, reduce the risk of loss and increase the share of renewable energy power generation. In contrast, the phase-out of the subsidies had the opposite effect. The methodology and results can provide a reference for investors to guide the formulation of the optimal investment decision and for the government to optimize the policy effect. • Evaluate the investment portfolio strategies of power enterprises under multiple-policy scenarios of renewable energy. • Use the real option and portfolio optimization method. • Show the optimal investment portfolio strategy, the investment value, and the conditional value at risk.
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