Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates
To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/635507df74584e41ab977c2d937eb2e7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:635507df74584e41ab977c2d937eb2e7 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:635507df74584e41ab977c2d937eb2e72021-11-25T19:00:56ZLow-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates10.3390/su1322124232071-1050https://doaj.org/article/635507df74584e41ab977c2d937eb2e72021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12423https://doaj.org/toc/2071-1050To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP system integrating wind and solar generators (WP and PV), power-to-gas (P2G), carbon capture power plants (CCPP) and price-based demand response (PBDR) is established. Secondly, the two-way interactive trading models among the VPP, carbon trading and green certification market are constructed. Then, the dispatching optimization model of the VPP is constructed. Finally, the numerical example is solved and analyzed by the chaotic particle swarm optimization algorithm, which verifies the rationality and effectiveness of the new model. The results show that: (1) when the VPP considers the CCPP-P2G, the cost of the system is reduced by USD 2550.48, while the CO<sub>2</sub> emissions are reduced by nearly 50%; (2) the addition of PBDR reduces the CO<sub>2</sub> emissions of the thermal power unit, which has reduced the cost of carbon tax by nearly 27.8%, further reducing the cost of the VPP; (3) the introduction of the carbon trading and green certificate market has reduced the operating cost of the VPP by nearly 22.24%.Qingyou YanXingbei AiJinmeng LiMDPI AGarticledispatching optimizationcarbon capturepower-to-gascarbon tradinggreen certificateEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12423, p 12423 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
dispatching optimization carbon capture power-to-gas carbon trading green certificate Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
spellingShingle |
dispatching optimization carbon capture power-to-gas carbon trading green certificate Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Qingyou Yan Xingbei Ai Jinmeng Li Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
description |
To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP system integrating wind and solar generators (WP and PV), power-to-gas (P2G), carbon capture power plants (CCPP) and price-based demand response (PBDR) is established. Secondly, the two-way interactive trading models among the VPP, carbon trading and green certification market are constructed. Then, the dispatching optimization model of the VPP is constructed. Finally, the numerical example is solved and analyzed by the chaotic particle swarm optimization algorithm, which verifies the rationality and effectiveness of the new model. The results show that: (1) when the VPP considers the CCPP-P2G, the cost of the system is reduced by USD 2550.48, while the CO<sub>2</sub> emissions are reduced by nearly 50%; (2) the addition of PBDR reduces the CO<sub>2</sub> emissions of the thermal power unit, which has reduced the cost of carbon tax by nearly 27.8%, further reducing the cost of the VPP; (3) the introduction of the carbon trading and green certificate market has reduced the operating cost of the VPP by nearly 22.24%. |
format |
article |
author |
Qingyou Yan Xingbei Ai Jinmeng Li |
author_facet |
Qingyou Yan Xingbei Ai Jinmeng Li |
author_sort |
Qingyou Yan |
title |
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
title_short |
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
title_full |
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
title_fullStr |
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
title_full_unstemmed |
Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates |
title_sort |
low-carbon economic dispatch based on a ccpp-p2g virtual power plant considering carbon trading and green certificates |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/635507df74584e41ab977c2d937eb2e7 |
work_keys_str_mv |
AT qingyouyan lowcarboneconomicdispatchbasedonaccppp2gvirtualpowerplantconsideringcarbontradingandgreencertificates AT xingbeiai lowcarboneconomicdispatchbasedonaccppp2gvirtualpowerplantconsideringcarbontradingandgreencertificates AT jinmengli lowcarboneconomicdispatchbasedonaccppp2gvirtualpowerplantconsideringcarbontradingandgreencertificates |
_version_ |
1718410405717475328 |