| Autor: |
Zhiao Li, Laijun Chen, Wei Wei, Shengwei Mei |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
CSEE Journal of Power and Energy Systems, Vol 10, Iss 3, Pp 1159-1167 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2096-0042 |
| DOI: |
10.17775/CSEEJPES.2020.06130 |
| Popis: |
Advanced adiabatic compressed air energy storage (AA-CAES) has the advantages of large capacity, long service time, combined heat and power generation (CHP), and does not consume fossil fuels, making it a promising storage technology in a low-carbon society. An appropriate self-scheduling model can guarantee AA-CAES's profit and attract investments. However, very few studies refer to the cogeneration ability of AA-CAES, which enables the possibility to trade in the electricity and heat markets at the same time. In this paper, we propose a multi-market self-scheduling model to make full use of heat produced in compressors. The volatile market price is modeled by a set of inexact distributions based on historical data through ø-divergence. Then, the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory, and equivalently reformulated as a mixed-integer linear program (MILP). The numerical simulation results validate the proposed method and demonstrate that participating in multi-energy markets increases overall profits. The impact of uncertainty parameters is also discussed in the sensibility analysis. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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