TY - GEN
T1 - A Low-Carbon Economic Dispatch Model for Green Charging Stations Considering Demand Response, Hydrogen Generation and CCUS
AU - Xiang, Yufeng
AU - Li, Yi Chang
AU - Pu, Yang
AU - Jin, Zhong
AU - Jia, Zhiyang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In response to escalating global efforts to combat climate change, numerous international policies and initiatives have emerged, creating new development opportunities for the energy sector. The combination of Carbon Capture, Utilization, and Storage (CCUS) and Smart Grid technologies provides an unprecedented opportunity for the construction of green power plants and the development of hydrogen storage technologies. Conventional power plants face many challenges, including the lack of flexibility in power load adjustment and high CO2 emissions, as well as the high investment cost due to the separate planning of charging stations and hydrogen production facilities. This paper proposes a low-carbon economic dispatch model for coupled hydrogen production photovoltaic storage charging stations considering CCUS and demand response in a smart grid environment. First, a carbon capture power plant model is constructed using CCUS technology to reduce the carbon dioxide emissions generated in the power generation process in order to achieve the low-carbon goal. Next, this paper constructs a hydrogen production model with water electrolysis technology as the core and an intelligent scheduling system, which can automatically allocate power according to real-time electricity price and other factors with the support of smart grid. In addition, the model comprehensively considers a variety of cost and profit factors, including hydrogen manufacturing technology and equipment cost, power cost, carbon capture cost, carbon sequestration cost, carbon transportation cost, carbon profitability, power generation profitability, hydrogen storage cost, etc., and constructs a low-carbon economic scheduling decision-making model with the goal of maximizing the total profit of charging stations. The case study verifies the effectiveness of the model in improving the economic profit of charging stations, ensuring grid stability, reducing CO2 emissions, and lowering the cost of hydrogen storage.
AB - In response to escalating global efforts to combat climate change, numerous international policies and initiatives have emerged, creating new development opportunities for the energy sector. The combination of Carbon Capture, Utilization, and Storage (CCUS) and Smart Grid technologies provides an unprecedented opportunity for the construction of green power plants and the development of hydrogen storage technologies. Conventional power plants face many challenges, including the lack of flexibility in power load adjustment and high CO2 emissions, as well as the high investment cost due to the separate planning of charging stations and hydrogen production facilities. This paper proposes a low-carbon economic dispatch model for coupled hydrogen production photovoltaic storage charging stations considering CCUS and demand response in a smart grid environment. First, a carbon capture power plant model is constructed using CCUS technology to reduce the carbon dioxide emissions generated in the power generation process in order to achieve the low-carbon goal. Next, this paper constructs a hydrogen production model with water electrolysis technology as the core and an intelligent scheduling system, which can automatically allocate power according to real-time electricity price and other factors with the support of smart grid. In addition, the model comprehensively considers a variety of cost and profit factors, including hydrogen manufacturing technology and equipment cost, power cost, carbon capture cost, carbon sequestration cost, carbon transportation cost, carbon profitability, power generation profitability, hydrogen storage cost, etc., and constructs a low-carbon economic scheduling decision-making model with the goal of maximizing the total profit of charging stations. The case study verifies the effectiveness of the model in improving the economic profit of charging stations, ensuring grid stability, reducing CO2 emissions, and lowering the cost of hydrogen storage.
KW - CCUS
KW - Charging Stations
KW - Demand Response
KW - Hydrogen Storage
UR - http://www.scopus.com/inward/record.url?scp=105005571468&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-4963-1_28
DO - 10.1007/978-981-96-4963-1_28
M3 - Conference contribution
AN - SCOPUS:105005571468
SN - 9789819649624
T3 - Lecture Notes in Electrical Engineering
SP - 302
EP - 313
BT - Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I
A2 - Yin, Guangqiang
A2 - Liu, Xiaodong
A2 - Su, Jian
A2 - Yang, Yangzhao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024
Y2 - 18 October 2024 through 21 October 2024
ER -