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contributor authorC. Lindsay Anderson
contributor authorNatasha Burke
contributor authorMatt Davison
date accessioned2017-05-08T22:05:46Z
date available2017-05-08T22:05:46Z
date copyrightMarch 2015
date issued2015
identifier other23476703.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71220
description abstractIt 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.
publisherAmerican Society of Civil Engineers
titleOptimal Management of Wind Energy with Storage: Structural Implications for Policy and Market Design
typeJournal Paper
journal volume141
journal issue1
journal titleJournal of Energy Engineering
identifier doi10.1061/(ASCE)EY.1943-7897.0000177
treeJournal of Energy Engineering:;2015:;Volume ( 141 ):;issue: 001
contenttypeFulltext


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