Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission

The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to...

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Main Authors: Meryeme Azaroual, Mohammed Ouassaid, Mohamed Maaroufi
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2021/5591456
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author Meryeme Azaroual
Mohammed Ouassaid
Mohamed Maaroufi
author_facet Meryeme Azaroual
Mohammed Ouassaid
Mohamed Maaroufi
author_sort Meryeme Azaroual
collection DOAJ
description The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.
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institution Kabale University
issn 1110-662X
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publishDate 2021-01-01
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series International Journal of Photoenergy
spelling doaj-art-690ea84da6a84c98bcfc677af8d33d932025-02-03T07:23:30ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2021-01-01202110.1155/2021/55914565591456Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 EmissionMeryeme Azaroual0Mohammed Ouassaid1Mohamed Maaroufi2Engineering for Smart-Sustainable Systems Research Center, Mohammadia School of Engineers (EMI), Mohammed V University in Rabat, Rabat, MoroccoEngineering for Smart-Sustainable Systems Research Center, Mohammadia School of Engineers (EMI), Mohammed V University in Rabat, Rabat, MoroccoEngineering for Smart-Sustainable Systems Research Center, Mohammadia School of Engineers (EMI), Mohammed V University in Rabat, Rabat, MoroccoThe main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.http://dx.doi.org/10.1155/2021/5591456
spellingShingle Meryeme Azaroual
Mohammed Ouassaid
Mohamed Maaroufi
Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
International Journal of Photoenergy
title Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
title_full Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
title_fullStr Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
title_full_unstemmed Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
title_short Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
title_sort optimum energy flow management of a grid tied photovoltaic wind battery system considering cost reliability and co2 emission
url http://dx.doi.org/10.1155/2021/5591456
work_keys_str_mv AT meryemeazaroual optimumenergyflowmanagementofagridtiedphotovoltaicwindbatterysystemconsideringcostreliabilityandco2emission
AT mohammedouassaid optimumenergyflowmanagementofagridtiedphotovoltaicwindbatterysystemconsideringcostreliabilityandco2emission
AT mohamedmaaroufi optimumenergyflowmanagementofagridtiedphotovoltaicwindbatterysystemconsideringcostreliabilityandco2emission