Abstract
The carbon pricing is the main issue of the carbon trading market for enabling cost-effective decarbonization in the energy networks. A nodal carbon pricing model is firstly proposed based on the sharing and integration of the intra-regional carbon emission allowance. In this regard, the game theory is introduced to construct a multi-agent carbon emission allowance bargaining model in this letter. The alternating direction multiplier method is adopted to solve the model considering the competitional burden and privacy-preserving. Numerical results demonstrate that it could significantly reduce the carbon emissions of regional energy networks and improve the economic benefits of prosumers.
Original language | English |
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Article number | 10497887 |
Pages (from-to) | 6095-6098 |
Number of pages | 4 |
Journal | IEEE Transactions on Power Systems |
Volume | 39 |
Issue number | 4 |
DOIs | |
Publication status | Published - Jul 2024 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Artificial neural networks
- Carbon
- Carbon dioxide
- Costs
- Emissions trading
- Numerical models
- Pricing