Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU145540" target="_blank" >RIV/00216305:26210/22:PU145540 - isvavai.cz</a>

Výsledek na webu

<a href="https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0360544222015821" target="_blank" >https://www-sciencedirect-com.ezproxy.lib.vutbr.cz/science/article/pii/S0360544222015821</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.energy.2022.124679" target="_blank" >10.1016/j.energy.2022.124679</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission

Popis výsledku v původním jazyce

In this paper, the optimal designing framework for a grid-connected photovoltaic-wind energy system with battery storage (PV/Wind/Battery) is performed to supply an annual load considering vanadium redox battery (VRB) storage and lead-acid battery (LAB) to minimise the cost of system lifespan (CSLS) including the cost of components, cost of purchasing power from the grid and cost of CO2 emissions and the reliability constraint is defined as energy not supplied probability (ENSP). The optimal configuration of the system is found via an artificial electric field algorithm (AEFA). The capability of the design framework with the VRB is evaluated on sizing, CSLS, ENSP and cost of energy (COE) and in achieving a reliable and economical energy system in comparison with design based on the LAB. The results demonstrated that the CSLS (0.7–1%) and COE (0.87–1.2%) are reduced and reliability (7–10%) is improved more in the grid-connected designing framework for 1% of maximum ENSP (ENSPmax = 1%) in comparison with the stand-alone framework due to power purchasing capability from the grid and minimising the CO2 emission. The results cleared that the CSLS (32.7%), and COE (32.8%) are decreased and reliability (2–4.3%) is improved more for ENSPmax = 1% in system design with VRB than the system design using LAB storage due to higher depth of discharge and further efficiency. The results proved that increasing the ENSP constraint causes decreases in the CSLS and COE and enhances the reliability. The better performance of the proposed multi-criteria design framework via the AEFA is confirmed in comparison with the particle swarm optimisation (PSO) and grey wolf optimiser (GWO) to obtain the best configuration of the hybrid system with the lowest CSLS and COE and more reliability.

Název v anglickém jazyce

Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission

Popis výsledku anglicky

In this paper, the optimal designing framework for a grid-connected photovoltaic-wind energy system with battery storage (PV/Wind/Battery) is performed to supply an annual load considering vanadium redox battery (VRB) storage and lead-acid battery (LAB) to minimise the cost of system lifespan (CSLS) including the cost of components, cost of purchasing power from the grid and cost of CO2 emissions and the reliability constraint is defined as energy not supplied probability (ENSP). The optimal configuration of the system is found via an artificial electric field algorithm (AEFA). The capability of the design framework with the VRB is evaluated on sizing, CSLS, ENSP and cost of energy (COE) and in achieving a reliable and economical energy system in comparison with design based on the LAB. The results demonstrated that the CSLS (0.7–1%) and COE (0.87–1.2%) are reduced and reliability (7–10%) is improved more in the grid-connected designing framework for 1% of maximum ENSP (ENSPmax = 1%) in comparison with the stand-alone framework due to power purchasing capability from the grid and minimising the CO2 emission. The results cleared that the CSLS (32.7%), and COE (32.8%) are decreased and reliability (2–4.3%) is improved more for ENSPmax = 1% in system design with VRB than the system design using LAB storage due to higher depth of discharge and further efficiency. The results proved that increasing the ENSP constraint causes decreases in the CSLS and COE and enhances the reliability. The better performance of the proposed multi-criteria design framework via the AEFA is confirmed in comparison with the particle swarm optimisation (PSO) and grey wolf optimiser (GWO) to obtain the best configuration of the hybrid system with the lowest CSLS and COE and more reliability.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Energy

ISSN

0360-5442

e-ISSN

1873-6785

Svazek periodika

neuveden

Číslo periodika v rámci svazku

257

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

124679-124679

Kód UT WoS článku

000853698300004

EID výsledku v databázi Scopus

2-s2.0-85134470993