Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control
The energy storage adjustment strategy of source and load storage in a DC microgrid is very important to the economic benefits of a power grid. Therefore, a multi-timescale energy storage optimization method for direct current (DC) microgrid source-load storage based on a virtual bus voltage control...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/22/5626 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846153637406965760 |
|---|---|
| author | Xiaoxuan Guo Yasai Wang Min Guo Leping Sun Xiaojun Shen |
| author_facet | Xiaoxuan Guo Yasai Wang Min Guo Leping Sun Xiaojun Shen |
| author_sort | Xiaoxuan Guo |
| collection | DOAJ |
| description | The energy storage adjustment strategy of source and load storage in a DC microgrid is very important to the economic benefits of a power grid. Therefore, a multi-timescale energy storage optimization method for direct current (DC) microgrid source-load storage based on a virtual bus voltage control is studied. It uses a virtual damping compensation strategy to control the stability of virtual bus voltage and establishes a virtual energy storage model by combining different types of distributed capability units. The design of an optimization process for upper-level daily energy storage has the objective function of maximizing the economic benefits of microgrids to cope with unplanned fluctuations in power. A real-time energy-adjustment scheme for the lower level is introduced, and a real-time energy-adjustment scheme based on virtual energy storage for the short-term partition of the source-load storage is designed to improve the reliability of microgrid operations. The experiment shows that, in response to the constant amplitude oscillation of the power grid after a sudden increase in power, this method introduces a virtual damping compensation strategy at 20 s, which can stabilize the virtual bus voltage. From 00:00 to 09:00, the battery power remains at around 4 MW, and from 12:00 to 21:00, the battery exits the discharge state. The economic benefits from applying this method are significantly higher than before. This method can effectively adjust the source-load energy storage in real time. During peak electricity price periods, the <i>SOC</i> value of supercapacitors is below 0.4, and during normal electricity price periods, the <i>SOC</i> value of supercapacitors can reach up to 1.0, which can make the state of the charge value of supercapacitors meet economic requirements. |
| format | Article |
| id | doaj-art-1e88db64dffd4d9588ff8a5e26292ce5 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-1e88db64dffd4d9588ff8a5e26292ce52024-11-26T18:02:06ZengMDPI AGEnergies1996-10732024-11-011722562610.3390/en17225626Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage ControlXiaoxuan Guo0Yasai Wang1Min Guo2Leping Sun3Xiaojun Shen4Electric Power Research Institute Guangxi Power Grid Company, Nanning 520023, ChinaElectric Power Research Institute Guangxi Power Grid Company, Nanning 520023, ChinaElectric Power Research Institute Guangxi Power Grid Company, Nanning 520023, ChinaElectric Power Research Institute Guangxi Power Grid Company, Nanning 520023, ChinaDepartment of Electrical Engineering, Tongji University, Shanghai 200092, ChinaThe energy storage adjustment strategy of source and load storage in a DC microgrid is very important to the economic benefits of a power grid. Therefore, a multi-timescale energy storage optimization method for direct current (DC) microgrid source-load storage based on a virtual bus voltage control is studied. It uses a virtual damping compensation strategy to control the stability of virtual bus voltage and establishes a virtual energy storage model by combining different types of distributed capability units. The design of an optimization process for upper-level daily energy storage has the objective function of maximizing the economic benefits of microgrids to cope with unplanned fluctuations in power. A real-time energy-adjustment scheme for the lower level is introduced, and a real-time energy-adjustment scheme based on virtual energy storage for the short-term partition of the source-load storage is designed to improve the reliability of microgrid operations. The experiment shows that, in response to the constant amplitude oscillation of the power grid after a sudden increase in power, this method introduces a virtual damping compensation strategy at 20 s, which can stabilize the virtual bus voltage. From 00:00 to 09:00, the battery power remains at around 4 MW, and from 12:00 to 21:00, the battery exits the discharge state. The economic benefits from applying this method are significantly higher than before. This method can effectively adjust the source-load energy storage in real time. During peak electricity price periods, the <i>SOC</i> value of supercapacitors is below 0.4, and during normal electricity price periods, the <i>SOC</i> value of supercapacitors can reach up to 1.0, which can make the state of the charge value of supercapacitors meet economic requirements.https://www.mdpi.com/1996-1073/17/22/5626virtual busvoltage controlDC microgridsource and storagemulti-timescaleenergy storage optimization |
| spellingShingle | Xiaoxuan Guo Yasai Wang Min Guo Leping Sun Xiaojun Shen Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control Energies virtual bus voltage control DC microgrid source and storage multi-timescale energy storage optimization |
| title | Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control |
| title_full | Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control |
| title_fullStr | Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control |
| title_full_unstemmed | Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control |
| title_short | Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control |
| title_sort | multi time scale energy storage optimization of dc microgrid source load storage based on virtual bus voltage control |
| topic | virtual bus voltage control DC microgrid source and storage multi-timescale energy storage optimization |
| url | https://www.mdpi.com/1996-1073/17/22/5626 |
| work_keys_str_mv | AT xiaoxuanguo multitimescaleenergystorageoptimizationofdcmicrogridsourceloadstoragebasedonvirtualbusvoltagecontrol AT yasaiwang multitimescaleenergystorageoptimizationofdcmicrogridsourceloadstoragebasedonvirtualbusvoltagecontrol AT minguo multitimescaleenergystorageoptimizationofdcmicrogridsourceloadstoragebasedonvirtualbusvoltagecontrol AT lepingsun multitimescaleenergystorageoptimizationofdcmicrogridsourceloadstoragebasedonvirtualbusvoltagecontrol AT xiaojunshen multitimescaleenergystorageoptimizationofdcmicrogridsourceloadstoragebasedonvirtualbusvoltagecontrol |