| Autor: |
Xuejun Shang, Ying Zhang, Zhenao Sun, Xiong Xiong, Xianxu Huo, Ma Shiqian |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE Sustainable Power and Energy Conference (iSPEC). |
| DOI: |
10.1109/ispec50848.2020.9351053 |
| Popis: |
Aiming at the combined heat and power optimal dispatching problem of electro-thermal system, this paper proposed a multi-time scale dispatching model electro-thermal system considering electric/thermal energy storage and flexible load. Firstly, an electro-thermal system with electric/thermal energy storage, flexible load, combined heat and power generation and heat pump is modeled, in which the flexible thermal load model is constructed based on the user's thermal comfort, the flexible electric load model is constructed based on the user's satisfaction with electricity consumption. Then a multi-time scale optimal dispatching model for electro-thermal system is proposed. Day-ahead optimal dispatching model minimizes the operation cost through multi-period collaborative optimization. Real-time feedback correction is based on the actual measured value of distributed renewable energy resources output and load demand to correct the day-ahead dispatching plan instructions and improve the reliability of dispatching. Finally, a simulation example verifies the effectiveness of the method proposed in this paper. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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