Research on Coordinated Scheduling Strategy of Heat Storage Thermoelectric Units Based on Wind Power Data Acquisition System Using Edge Computing
| Autor: | N. An, M. L. Zhang, N. Zhang, Duojiao Guan, S. X. Lu, X. Y. Qian, Peng Ye |
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| Rok vydání: | 2021 |
| Předmět: |
Science (General)
Wind power Article Subject Computer Networks and Communications Computer science business.industry 020209 energy Scheduling (production processes) Particle swarm optimization Thermal power station 020206 networking & telecommunications 02 engineering and technology Thermal energy storage Automotive engineering Q1-390 Cogeneration Peaking power plant 0202 electrical engineering electronic engineering information engineering T1-995 business Technology (General) Edge computing Information Systems |
| Zdroj: | Security and Communication Networks, Vol 2021 (2021) |
| ISSN: | 1939-0122 1939-0114 |
| DOI: | 10.1155/2021/8864552 |
| Popis: | Cogeneration units use heat and electricity as the main operation mode in the heating season. It suffers the lack of peak shaving ability, resulting in intense wind curtailment. This study presents a coordinated scheduling strategy of heat storage thermoelectric units considering the uncertainty of wind power. The developed method performs a wind power data measurement and process system based on edge computing and deep learning to acquire operation data quickly and independently and adopts a wind power prediction method based on interval scenario. Furthermore, the coordinated control model of the thermal storage unit is established after the analysis of the characteristics of coordinated scheduling strategy of heat storage thermoelectric units based on wind heat complementation, and then the improved particle swarm optimization (PSO) is adopted to the solving process. The proposed method is verified by applying it to two typical thermal power units. |
| Databáze: | OpenAIRE |
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