Energy management considering multiple power markets and microgrid storage
The operational cost of a microgrid is significantly influenced by the response of storage systems and the complexities of the power market’s tariff structures. This paper addresses the challenges arising from the coexistence of new market entries and traditional tariffs, which contribute to a compl...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-11-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1285270/full |
| _version_ | 1827662634412933120 |
|---|---|
| author | Mengxuan Yan Mengxuan Yan Zhanlian Li Chun Sing Lai Chun Sing Lai Zhuoli Zhao Ahmed F. Zobaa Loi Lei Lai Zebing Shi |
| author_facet | Mengxuan Yan Mengxuan Yan Zhanlian Li Chun Sing Lai Chun Sing Lai Zhuoli Zhao Ahmed F. Zobaa Loi Lei Lai Zebing Shi |
| author_sort | Mengxuan Yan |
| collection | DOAJ |
| description | The operational cost of a microgrid is significantly influenced by the response of storage systems and the complexities of the power market’s tariff structures. This paper addresses the challenges arising from the coexistence of new market entries and traditional tariffs, which contribute to a complex market environment. To tackle this issue, the paper establishes a microgrid market environment encompassing four types of tariffs. By modeling the response of electric storage and cold storage in a microgrid, the study formulates a non-linear mixed-integer optimization problem. Numerical studies are then conducted to verify the model and analyze market performance. The results reveal a trade-off in behavior among different market entries when optimizing the total cost of microgrid operation. These findings shed light on the complexities and trade-offs involved in microgrid operational cost optimization within a diverse market environment, offering valuable insights for market participants. |
| first_indexed | 2024-03-10T00:29:43Z |
| format | Article |
| id | doaj.art-9602f2fa85db4747be17fcc89a767218 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-10T00:29:43Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-9602f2fa85db4747be17fcc89a7672182023-11-23T15:27:52ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-11-011110.3389/fenrg.2023.12852701285270Energy management considering multiple power markets and microgrid storageMengxuan Yan0Mengxuan Yan1Zhanlian Li2Chun Sing Lai3Chun Sing Lai4Zhuoli Zhao5Ahmed F. Zobaa6Loi Lei Lai7Zebing Shi8School of Automation, Guangdong University of Technology, Guangzhou, ChinaJiangmen Power Supply Bureau of Guangdong Power Grid Co Ltd., Jiangmen, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaDepartment of Electronic and Electrical Engineering, Brunel University London, Uxbridge, United KingdomSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaDepartment of Electronic and Electrical Engineering, Brunel University London, Uxbridge, United KingdomSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaChina Southern Power Grid Co. Ltd., Guangzhou, ChinaThe operational cost of a microgrid is significantly influenced by the response of storage systems and the complexities of the power market’s tariff structures. This paper addresses the challenges arising from the coexistence of new market entries and traditional tariffs, which contribute to a complex market environment. To tackle this issue, the paper establishes a microgrid market environment encompassing four types of tariffs. By modeling the response of electric storage and cold storage in a microgrid, the study formulates a non-linear mixed-integer optimization problem. Numerical studies are then conducted to verify the model and analyze market performance. The results reveal a trade-off in behavior among different market entries when optimizing the total cost of microgrid operation. These findings shed light on the complexities and trade-offs involved in microgrid operational cost optimization within a diverse market environment, offering valuable insights for market participants.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1285270/fullcoordinated operationnatural gas networkelectrical networkcredit rank indicatormicrogrid |
| spellingShingle | Mengxuan Yan Mengxuan Yan Zhanlian Li Chun Sing Lai Chun Sing Lai Zhuoli Zhao Ahmed F. Zobaa Loi Lei Lai Zebing Shi Energy management considering multiple power markets and microgrid storage Frontiers in Energy Research coordinated operation natural gas network electrical network credit rank indicator microgrid |
| title | Energy management considering multiple power markets and microgrid storage |
| title_full | Energy management considering multiple power markets and microgrid storage |
| title_fullStr | Energy management considering multiple power markets and microgrid storage |
| title_full_unstemmed | Energy management considering multiple power markets and microgrid storage |
| title_short | Energy management considering multiple power markets and microgrid storage |
| title_sort | energy management considering multiple power markets and microgrid storage |
| topic | coordinated operation natural gas network electrical network credit rank indicator microgrid |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1285270/full |
| work_keys_str_mv | AT mengxuanyan energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT mengxuanyan energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT zhanlianli energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT chunsinglai energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT chunsinglai energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT zhuolizhao energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT ahmedfzobaa energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT loileilai energymanagementconsideringmultiplepowermarketsandmicrogridstorage AT zebingshi energymanagementconsideringmultiplepowermarketsandmicrogridstorage |