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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Qingyou Yan, Xingbei Ai, Jinmeng Li
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