Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Renewable energy sources, such as wind, are characterized by non-dispatchability, high volatility, and non-perfect forecasts. These undesirable features can lead to energy loss and/or can necessitate a large reserve in the form of fast-ramping fuel-based generators. Energy storage can be used to mitigate these effects. ,  are interested in the tradeoff beten the use of the reserves and the energy loss. Energy loss includes energy that is either wasted, due to the inefficiency of the storage cycle and the inevitable forecasting errors, or lost when the storage capacity is insufficient.  base our analysis on an initial model proposed by Bejan, Gibbens, and Kelly.  first provide theoretical bounds on the trade-off beten energy loss and the use of reserves. For a large storage capacity,  show that this bound is tight, and  develop an algorithm that computes the optimal schedule. Second,  develop a scheduling strategy that is efficient for small or moderate storage.  evaluate these policies on real data from the U.K. grid and show that they outperform existing heuristics. In addition,  provide guidelines for computing the optimal storage characteristics and the reserve size for a given penetration of wind in the energy mix.
['Nicolas Gast', 'Dan-Cristian Tomozei', 'Jean-Yves Le Boudec']
I am writing a research paper on a idea Optimal Generation and Storage Scheduling in the Presence of Renewable Forecast Uncertainties
[{"from": "human", "value": "I am writing a research paper on a idea Optimal Generation and Storage Scheduling in the Presence of Renewable Forecast Uncertainties"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Renewable energy sources, such as wind, are characterized by non-dispatchability, high volatility, and non-perfect forecasts. These undesirable features can lead to energy loss and/or can necessitate a large reserve in the form of fast-ramping fuel-based generators. Energy storage can be used to mitigate these effects. ,  are interested in the tradeoff beten the use of the reserves and the energy loss. Energy loss includes energy that is either wasted, due to the inefficiency of the storage cycle and the inevitable forecasting errors, or lost when the storage capacity is insufficient.  base our analysis on an initial model proposed by Bejan, Gibbens, and Kelly.  first provide theoretical bounds on the trade-off beten energy loss and the use of reserves. For a large storage capacity,  show that this bound is tight, and  develop an algorithm that computes the optimal schedule. Second,  develop a scheduling strategy that is efficient for small or moderate storage.  evaluate these policies on real data from the U.K. grid and show that they outperform existing heuristics. In addition,  provide guidelines for computing the optimal storage characteristics and the reserve size for a given penetration of wind in the energy mix."}]