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Title: Valuing the Capacity Contribution of Renewable Energy Systems with Storage.
The growth of renewable energy technologies creates significant challenges for the stability of the system because of their intermittency. Nonetheless, we can value these technologies with storage systems. We model the supply by a renewable technology, wind, into a storage facility using the leaky bucket mechanism. The bucket is synonymous with storage while the leakage is equivalent to meeting load. Modelica is used to capture: (i) the time-dependence of the state of the bucket based on a physical model of storage; (ii) the stochastic representation of wind energy using wind speed data that is fed into a physical model of a wind technology; and (iii) the load, modeled as a resistor-inductor circuit. The strength of Modelica in using non-causal equations for basic sub-systems that are linked together is harnessed through its libraries. We find that there is a diminishing return to storage. Beyond a certain level of storage, the integration of a reliable baseload power supply is required to diminish the risk due to reduced reliability. The need for storage systems as a hedge against intermittency is dependent on the interplay between the supply volatilities and the stochastic load to guarantee an acceptable level of quality of service and reliability.  more » « less
Award ID(s):
1847077
PAR ID:
10212936
Author(s) / Creator(s):
; ;
Editor(s):
L. Cromarty, R. Shirwaiker
Date Published:
Journal Name:
IISE transactions
ISSN:
2472-5854
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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