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Title: Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico

Journal Article · · Applied Sciences
DOI:https://doi.org/10.3390/app11135766· OSTI ID:1798012

One of the most important aspects that need to be addressed to increase solar energy penetration is the power ramp-rate control. In weak grids such as the one found in Puerto Rico, it is important to smooth power fluctuations caused by the intermittence of passing clouds. In this work, a novel power ramp-rate control strategy is proposed. Additionally, a comparison with some of the most common power ramp-rate control methods is performed using a proposed model and real solar radiation data from the Coto Laurel photovoltaic power plant located in Ponce, Puerto Rico. The proposed model was validated using one-year real data from Coto Laurel. The power ramp-rate control methods were compared in real-time simulations using the OP5700 from Opal-RT Technologies considering power ramp rate fluctuations, power ramp-rate violations, fluctuations in the state-of-charge, among other indicators. Moreover, the proposed power ramp-rate control strategy, called predictive dynamic smoothing was explained and compared. Results indicate that the predictive dynamic smoothing produced a considerably reduced Levelized Cost of Storage compared to other power ramp-rate control methods and provided a higher lifetime expectancy for lithium batteries.

Research Organization:
Univ. of Alaska, Fairbanks, AK (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0020281
OSTI ID:
1798012
Alternate ID(s):
OSTI ID: 1853543
Journal Information:
Applied Sciences, Journal Name: Applied Sciences Vol. 11 Journal Issue: 13; ISSN 2076-3417
Publisher:
MDPI AGCopyright Statement
Country of Publication:
Switzerland
Language:
English

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