Optimal Management of Wind Energy with Storage: Structural Implications for Policy and Market Design

被引:6
|
作者
Anderson, C. Lindsay [1 ]
Burke, Natasha [2 ]
Davison, Matt [3 ,4 ]
机构
[1] Cornell Univ, Dept Biol & Environm Engn, Ithaca, NY 14850 USA
[2] Univ Western Ontario, Dept Appl Math, London, ON N6A 5B9, Canada
[3] Univ Western Ontario, Dept Appl Math, Dept Stat & Actuarial Sci, London, ON N6A 5B9, Canada
[4] Univ Western Ontario, Richard Ivey Sch Business, London, ON, Canada
关键词
Wind power; Energy storage; Economic factors; Wind energy; Dynamic programming; HYDRO POWER-PLANT; PHOTOVOLTAIC SYSTEMS; OPTIMIZATION; BATTERIES; GENERATION; OPERATION;
D O I
10.1061/(ASCE)EY.1943-7897.0000177
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
It is well known that the generation resource uncertainty induced by significant wind capacity raises concerns about grid security, price stability, and revenue adequacy. One of the most promising solutions is the use of utility-scale energy storage, although the question of general implementation of this strategy remains unanswered. This paper uses a simplified model to show that simple rules exist that govern the decision to generate or store energy from a hybrid wind-storage system. The heuristics developed consider the combination of storage efficiency, electricity price, and shortfall penalty and wind forecast characteristics to guide the decision of whether to bid energy into the electricity market or not. Specifically, this paper develops the optimal strategy for use of a simplified system of an energy storage unit with a wind generator. The solution is analyzed using a dynamic programming formulation in a simplified framework over a multiperiod planning horizon. The analysis of the solution under all regimes yields insightful structural solutions regarding the conditions under which the wind generator should bid into the energy market and when it should not. The results also provide insight into the specific implications of forecast accuracy and market design on the need for storage. This analysis allows additional conclusions to be drawn about the value of various storage technologies based on their capacity and efficiency characteristics. However, the most important contribution of this work is the understanding of the importance of market penalties in encouraging participants to either improve forecasting ability or, perhaps more realistically, contract storage to mitigate shortfall risk. Improving both forecasting accuracy and storage capabilities results in value reduction for both.
引用
收藏
页数:9
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