Sizing Storage for Reliable Renewable Integration: A Large Deviations Approach

被引:3
作者
Deulkar, Vivek [1 ]
Nair, Jayakrishnan [1 ]
Kulkarni, Ankur A. [2 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Mumbai 400076, Maharashtra, India
[2] Indian Inst Technol, Syst & Control Engn, Mumbai 400076, Maharashtra, India
关键词
Storage sizing; Markov modelling; Large deviations; Power system reliability; STOCHASTIC-THEORY; GENERATION; POWER; CAPACITY; ENERGY; SYSTEM; MODEL;
D O I
10.1016/j.est.2020.101443
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
The inherent intermittency of wind and solar generation presents a significant challenge as we seek to increase the penetration of renewable generation in the power grid. Increasingly, energy storage is being deployed alongside renewable generation to counter this intermittency. However, a formal characterization of the reliability of renewable generators bundled with storage is lacking in the literature. The present paper seeks to fill this gap. We use a Markov modulated fluid queue to model the loss of load probability (LOLP) associated with a renewable generator bundled with a battery, serving an uncertain demand process. Further, we characterize the asymptotic behavior of the LOLP as the battery size scales to infinity. Our results shed light on the fundamental limits of reliability achievable, and also guide the sizing of the storage required in order to meet a given reliability target. Finally, we present a case study using real-world wind power data to demonstrate the applicability of our results in practice.
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页数:10
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