Techno-Economic analysis of a utility-scale PV+BESS system with dispatch optimization through a genetic algorithm
Visualitza/Obre
master-thesis-luisa-pesenti.pdf (4,756Mb) (Accés restringit)
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/362429
Tipus de documentProjecte Final de Màster Oficial
Data2021-10-11
Condicions d'accésAccés restringit per decisió de l'autor
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
The aim of this work is to evaluate the potentialities of the co-location of a utility-scale PV plant with a lithium-ion battery system and to assess the optimization of the battery dispatch through the implementation of an optimization genetic algorithm. To do so, a techno-economic model of a utility-scale PV+BESS plant was created with the subsequent addition of an optimization strategy to improve the revenue of the plant by controlling the assets’ dispatch while consid- ering the plant PPA tariff’s structure. In this way, it was possible to assess and quantify two aspects: the convenience of adding the battery to the PV plant and the benefit coming from in- troducing a control based on a genetic algorithm. Overall, the outcome of the analysis resulted in a positive but minimum impact brought by the presence of the BESS and its control: the ad- dition of a lithium-ion battery resulted financially sustainable and feasible, as it led to a slight improvement in the project’s financial projections. Furthermore, regarding the analyzed opti- mization strategy, it could be seen that the genetic algorithms was able to generate commands for the BESS dispatch shaped on the PPA tariff and actually aimed to maximize the revenue of the plant. Despite the economic improvement was minimal, this result combined with the capital cost decrease forecasted for lithium-ion batteries demonstrates that genetic algorithms are a valid potential tool to optimize the battery dispatch and the overall profitability of similar case studies and projects.
MatèriesLithium ion batteries, Photovoltaic power generation, Bateries d'ió liti, Energia solar fotovoltaica
TitulacióMÀSTER UNIVERSITARI EN ENGINYERIA DE L'ENERGIA (Pla 2013)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
master-thesis-luisa-pesenti.pdf | 4,756Mb | Accés restringit |