An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation
Renewable energy generation and energy storage systems are considered key technologies for reducing greenhouse gas emissions. Energy system planning and operation requires more accurate forecasts of intermittent renewable energy resources that consider the impact of battery degradation on the system...
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| Format: | Article |
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MDPI AG
2020-04-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/4/701 |
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| author | Munsu Lee Jinhyeong Park Sun-Ik Na Hyung Sik Choi Byeong-Sik Bu Jonghoon Kim |
| author_facet | Munsu Lee Jinhyeong Park Sun-Ik Na Hyung Sik Choi Byeong-Sik Bu Jonghoon Kim |
| author_sort | Munsu Lee |
| collection | DOAJ |
| description | Renewable energy generation and energy storage systems are considered key technologies for reducing greenhouse gas emissions. Energy system planning and operation requires more accurate forecasts of intermittent renewable energy resources that consider the impact of battery degradation on the system caused by the accumulation of charging and discharging cycles. In this study, a statistical model is presented for forecasting a day-ahead photovoltaic (PV) generation considering solar radiation and weather parameters. In addition, the technical performance of energy storage systems (ESS) should be evaluated by considering battery degradation that occurs during the charge and discharge cycles of the battery. In this study, a battery degradation model based on the data-driven method is used. Based on a suitable forecasting model, ESS scheduling is performed to charge the maximum amount of PV generation and discharge for the self-consumption of the customer load when PV generation ends. Since the battery is highly dependent on operating conditions such as depth of discharge, state of charge and temperature, two different ESS charge and discharge modes are proposed. From the simulation with the battery degradation model using parameters derived from experiments, we show that the battery is degraded along with charging cycles during testing periods. Variations in state of health are observed owing to the different characteristics of the battery according to the ESS operation modes, which are divided into the low and high SOC. Through experimental validation, it is proved that the state of charge (SOC), 0.45 is the optimal threshold that can determine the low and high SOC. Finally, the simulation results lead to the conclusion that the battery degradation in different operation modes should be taken into account to extend the end of life efficiently. |
| first_indexed | 2024-03-10T20:14:50Z |
| format | Article |
| id | doaj.art-d22100d46712499b94af085d281d443e |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T20:14:50Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d22100d46712499b94af085d281d443e2023-11-19T22:38:34ZengMDPI AGElectronics2079-92922020-04-019470110.3390/electronics9040701An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic GenerationMunsu Lee0Jinhyeong Park1Sun-Ik Na2Hyung Sik Choi3Byeong-Sik Bu4Jonghoon Kim5Department of Energy Science, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical Engineering, Chungnam National University, Daejeon 34134, KoreaDepartment of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, KoreaDivision of Policy Research, Green Technology Center, Seoul 08826, KoreaPlanning and Supporting Division, Power Policy Group, Posco Energy, Seoul 06194, KoreaDepartment of Electrical Engineering, Chungnam National University, Daejeon 34134, KoreaRenewable energy generation and energy storage systems are considered key technologies for reducing greenhouse gas emissions. Energy system planning and operation requires more accurate forecasts of intermittent renewable energy resources that consider the impact of battery degradation on the system caused by the accumulation of charging and discharging cycles. In this study, a statistical model is presented for forecasting a day-ahead photovoltaic (PV) generation considering solar radiation and weather parameters. In addition, the technical performance of energy storage systems (ESS) should be evaluated by considering battery degradation that occurs during the charge and discharge cycles of the battery. In this study, a battery degradation model based on the data-driven method is used. Based on a suitable forecasting model, ESS scheduling is performed to charge the maximum amount of PV generation and discharge for the self-consumption of the customer load when PV generation ends. Since the battery is highly dependent on operating conditions such as depth of discharge, state of charge and temperature, two different ESS charge and discharge modes are proposed. From the simulation with the battery degradation model using parameters derived from experiments, we show that the battery is degraded along with charging cycles during testing periods. Variations in state of health are observed owing to the different characteristics of the battery according to the ESS operation modes, which are divided into the low and high SOC. Through experimental validation, it is proved that the state of charge (SOC), 0.45 is the optimal threshold that can determine the low and high SOC. Finally, the simulation results lead to the conclusion that the battery degradation in different operation modes should be taken into account to extend the end of life efficiently.https://www.mdpi.com/2079-9292/9/4/701energy storage systemPV forecastingstate of chargestate of healthbattery degradation |
| spellingShingle | Munsu Lee Jinhyeong Park Sun-Ik Na Hyung Sik Choi Byeong-Sik Bu Jonghoon Kim An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation Electronics energy storage system PV forecasting state of charge state of health battery degradation |
| title | An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation |
| title_full | An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation |
| title_fullStr | An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation |
| title_full_unstemmed | An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation |
| title_short | An Analysis of Battery Degradation in the Integrated Energy Storage System with Solar Photovoltaic Generation |
| title_sort | analysis of battery degradation in the integrated energy storage system with solar photovoltaic generation |
| topic | energy storage system PV forecasting state of charge state of health battery degradation |
| url | https://www.mdpi.com/2079-9292/9/4/701 |
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