Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate
Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS ch...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_03003.pdf |
| _version_ | 1818739726788591616 |
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| author | Li Jiaming Qiao Ying Liu Guojing Lu Zongxiang |
| author_facet | Li Jiaming Qiao Ying Liu Guojing Lu Zongxiang |
| author_sort | Li Jiaming |
| collection | DOAJ |
| description | Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS’s ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of China, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase. |
| first_indexed | 2024-12-18T01:29:25Z |
| format | Article |
| id | doaj.art-29a9cac2a441421fbabddf3e8c00c080 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-18T01:29:25Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-29a9cac2a441421fbabddf3e8c00c0802022-12-21T21:25:39ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011820300310.1051/e3sconf/202018203003e3sconf_cpeee2020_03003Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High ChargerateLi Jiaming0Qiao Ying1Liu Guojing2Lu Zongxiang3State Key Lab of Control and Simulation of Power Systems and Generation Equipments, Dept. of Electrical Engineering, Tsinghua UniversityState Key Lab of Control and Simulation of Power Systems and Generation Equipments, Dept. of Electrical Engineering, Tsinghua UniversityEconomic Institute of Technology, State Grid Jiangsu Electric Power CompanyState Key Lab of Control and Simulation of Power Systems and Generation Equipments, Dept. of Electrical Engineering, Tsinghua UniversityBattery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS’s ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of China, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_03003.pdf |
| spellingShingle | Li Jiaming Qiao Ying Liu Guojing Lu Zongxiang Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate E3S Web of Conferences |
| title | Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate |
| title_full | Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate |
| title_fullStr | Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate |
| title_full_unstemmed | Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate |
| title_short | Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate |
| title_sort | capacity configuration of battery energy storage system for photovoltaic generation system considering the high chargerate |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_03003.pdf |
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