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Abstract:
With the proposal of carbon peak and carbon neutrality and the development of the new power system, how to reduce the carbon emissions in the power industry and alleviate the funding gap of the renewable energy subsidies are two major issues at present. Therefore, this paper establishes a carbon-green certificate-electricity energy market coupling trading optimization model. In this model, all the power producers participate in the bidding in the electricity market with the marginal cost of generation. Considering the influence of the carbon emission trading costs and the green certificate trading costs on the quotation of the power producers, after the unified clearing of the electricity and energy market, the optimal bid-winning power, the carbon quota benchmark coefficient and the green certificate proportion coefficient of the generator are obtained so as to minimize the electricity purchase cost under the premise of limiting the total regional carbon emission and encouraging the renewable energy to participate in the market competition. At the same time, the model provides a reference for the regulatory department to formulate the carbon emission quota coefficient and green certificate proportion coefficient. Secondly, this paper linearizes the model and uses the Cplex to find the Lagrange dual variables of the model constraints in order to study the changes of the marginal costs of the carbon emissions and the marginal costs of the green certificate under different carbon quota benchmarks and green certificate ratios, and to reveal the internal mechanism of the impact of the carbon market and the green certificate market on the electric energy market. Finally, an example is given to analyze and compare the optimization results of the coupled trading mechanism with the single power market, which shows that the carbon-green certificate-electricity coupling optimization mechanism plays a role in increasing the consumption of the renewable energy and reduce the carbon emissions significantly. © 2023 Power System Technology Press. All rights reserved.
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Power System Technology
ISSN: 1000-3673
CN: 11-2410/TM
Year: 2023
Issue: 6
Volume: 47
Page: 2273-2284
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 7
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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