Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization
Increasing the proportion of carbon-free power sources, such as renewable energy, is essential for transitioning to a zero-carbon power system. However, when the rate of grid expansion and flexibility cannot match the rate of renewable energy increase, surplus energy is the result. Surplus energy ca...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/16/6031 |
| _version_ | 1797584858371850240 |
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| author | Jaegul Lee Solyoung Jung Yongseung Lee Gilsoo Jang |
| author_facet | Jaegul Lee Solyoung Jung Yongseung Lee Gilsoo Jang |
| author_sort | Jaegul Lee |
| collection | DOAJ |
| description | Increasing the proportion of carbon-free power sources, such as renewable energy, is essential for transitioning to a zero-carbon power system. However, when the rate of grid expansion and flexibility cannot match the rate of renewable energy increase, surplus energy is the result. Surplus energy can be discarded through curtailment or stored and utilized when required. The optimal equipment configuration of the storage system should be determined based on the surplus energy characteristics. This study proposes an optimal energy storage mix configuration method by considering long-term forecasts of surplus energy in the South Korean renewable energy supply and power grid expansion plan. The surplus energy by time slot is comprehensively analyzed considering renewable energy power output, power demand, and power system operation constraints. We calculate the required power and energy of storage devices. Furthermore, we construct a long-term optimal energy storage mix using surplus energy generation patterns and technical and economical characteristics of storage technologies. The total cost minimization was considered as the objective function, comprising three elements: initial construction, equipment replacement, and loss costs for charging and discharging. We propose a time sequence analysis (TSA) method that enables chronological analysis from the starting year to the final target year. The TSA method provides an energy storage mix configuration roadmap that can utilize surplus energy for various years over the entire period, considering the annual increase in surplus energy and commercialization timing of each storage technology. We compare the difference between our proposed TSA method and the method that analyzes only the final target year to validate the superiority of this methodology. |
| first_indexed | 2024-03-10T23:58:41Z |
| format | Article |
| id | doaj.art-ceaa19849db84187a8d8c5879c8cc693 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T23:58:41Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ceaa19849db84187a8d8c5879c8cc6932023-11-19T00:57:44ZengMDPI AGEnergies1996-10732023-08-011616603110.3390/en16166031Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy UtilizationJaegul Lee0Solyoung Jung1Yongseung Lee2Gilsoo Jang3School of Electrical Engineering, Korea University, Anam-ro, Sungbuk-gu, Seoul 02841, Republic of KoreaKorea Electric Power Research Institute (KEPRI), Munji-ro, Yuseong-gu, Daejeon 34056, Republic of KoreaKorea Electric Power Research Institute (KEPRI), Munji-ro, Yuseong-gu, Daejeon 34056, Republic of KoreaSchool of Electrical Engineering, Korea University, Anam-ro, Sungbuk-gu, Seoul 02841, Republic of KoreaIncreasing the proportion of carbon-free power sources, such as renewable energy, is essential for transitioning to a zero-carbon power system. However, when the rate of grid expansion and flexibility cannot match the rate of renewable energy increase, surplus energy is the result. Surplus energy can be discarded through curtailment or stored and utilized when required. The optimal equipment configuration of the storage system should be determined based on the surplus energy characteristics. This study proposes an optimal energy storage mix configuration method by considering long-term forecasts of surplus energy in the South Korean renewable energy supply and power grid expansion plan. The surplus energy by time slot is comprehensively analyzed considering renewable energy power output, power demand, and power system operation constraints. We calculate the required power and energy of storage devices. Furthermore, we construct a long-term optimal energy storage mix using surplus energy generation patterns and technical and economical characteristics of storage technologies. The total cost minimization was considered as the objective function, comprising three elements: initial construction, equipment replacement, and loss costs for charging and discharging. We propose a time sequence analysis (TSA) method that enables chronological analysis from the starting year to the final target year. The TSA method provides an energy storage mix configuration roadmap that can utilize surplus energy for various years over the entire period, considering the annual increase in surplus energy and commercialization timing of each storage technology. We compare the difference between our proposed TSA method and the method that analyzes only the final target year to validate the superiority of this methodology.https://www.mdpi.com/1996-1073/16/16/6031energy storage mixenergy storage systemsurplus renewable energytime sequence analysis |
| spellingShingle | Jaegul Lee Solyoung Jung Yongseung Lee Gilsoo Jang Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization Energies energy storage mix energy storage system surplus renewable energy time sequence analysis |
| title | Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization |
| title_full | Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization |
| title_fullStr | Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization |
| title_full_unstemmed | Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization |
| title_short | Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization |
| title_sort | energy storage mix optimization based on time sequence analysis methodology for surplus renewable energy utilization |
| topic | energy storage mix energy storage system surplus renewable energy time sequence analysis |
| url | https://www.mdpi.com/1996-1073/16/16/6031 |
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