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

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...

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Main Authors: Juan F. Patarroyo-Montenegro, Jesus D. Vasquez-Plaza, Omar F. Rodriguez-Martinez, Yuly V. Garcia, Fabio Andrade
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/13/5766
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author Juan F. Patarroyo-Montenegro
Jesus D. Vasquez-Plaza
Omar F. Rodriguez-Martinez
Yuly V. Garcia
Fabio Andrade
author_facet Juan F. Patarroyo-Montenegro
Jesus D. Vasquez-Plaza
Omar F. Rodriguez-Martinez
Yuly V. Garcia
Fabio Andrade
author_sort Juan F. Patarroyo-Montenegro
collection DOAJ
description 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.
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spelling doaj.art-c928c41bb0cc4b31a7cb34e5e6bdb3772023-11-22T01:07:59ZengMDPI AGApplied Sciences2076-34172021-06-011113576610.3390/app11135766Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto RicoJuan F. Patarroyo-Montenegro0Jesus D. Vasquez-Plaza1Omar F. Rodriguez-Martinez2Yuly V. Garcia3Fabio Andrade4Sustainable Energy Center, University of Puerto Rico, Mayagüez Campus, Mayagüez, PR 00680, USASustainable Energy Center, University of Puerto Rico, Mayagüez Campus, Mayagüez, PR 00680, USASustainable Energy Center, University of Puerto Rico, Mayagüez Campus, Mayagüez, PR 00680, USASustainable Energy Center, University of Puerto Rico, Mayagüez Campus, Mayagüez, PR 00680, USASustainable Energy Center, University of Puerto Rico, Mayagüez Campus, Mayagüez, PR 00680, USAOne 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.https://www.mdpi.com/2076-3417/11/13/5766power ramp-rate controlphotovoltaic energylarge scale solar power plantlevelized cost of storagebattery degradation
spellingShingle Juan F. Patarroyo-Montenegro
Jesus D. Vasquez-Plaza
Omar F. Rodriguez-Martinez
Yuly V. Garcia
Fabio Andrade
Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico
Applied Sciences
power ramp-rate control
photovoltaic energy
large scale solar power plant
levelized cost of storage
battery degradation
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
title_full Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico
title_fullStr Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico
title_full_unstemmed Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico
title_short Comparative and Cost Analysis of a Novel Predictive Power Ramp Rate Control Method: A Case Study in a PV Power Plant in Puerto Rico
title_sort comparative and cost analysis of a novel predictive power ramp rate control method a case study in a pv power plant in puerto rico
topic power ramp-rate control
photovoltaic energy
large scale solar power plant
levelized cost of storage
battery degradation
url https://www.mdpi.com/2076-3417/11/13/5766
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