By solving for the investment threshold and investment opportunity value under various uncertainties and different strategies, the optimal investment scheme can be obtained. Finally, to verify the validity of the model, it is applied to investment decisions for energy storage participation in China's peaking auxiliary service market.
The primary conclusions are summarized as follows: The frequency of policy adjustments and the magnitude of subsidy adjustments have different levels of impact on energy storage technology investments. The adverse effect of the subsidy adjustments magnitude is much more significant than the impact of the policy adjustments frequency.
This is the source of its value, and defining storage as a new asset class would allow owners and operators to provide the highest-valued services across components of the grid. The benefits of energy storage depend on the flexibility in application inherent in system design and operation.
China's energy storage incentive policies are imperfect, and there are problems such as insufficient local policy implementation and lack of long-term mechanisms . Since the frequency and magnitude of future policy adjustments are not specified, it is impossible for energy storage technology investors to make appropriate investment decisions.
At this stage, the investment threshold for energy storage to involvement in China's peaking auxiliary services is 0.1068 USD/kWh. In comparison, the current average peak and off-peak power price difference in China is approximately 0.0728–0.0873 USD/kWh.
A firm choosing to invest in energy storage technology is equivalent to executing the value of the investment option . In this study, the investment opportunity value of an energy storage technology is denoted by F (P), that is, the maximum expected net present value when a firm invests in an energy storage technology.
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