New Energy Aggregators Optimal Dispatching Strategies Based on Price Incentive Agreement
| Autor: | Ding Qia, Yang Jiaqi, Teng Xianliang, Zhang Xinsen, Yu Jie, TU Mengfu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:GE1-350
Interconnection Property (programming) Computer science 020209 energy Distributed computing 020208 electrical & electronic engineering 02 engineering and technology Power (physics) Matrix (mathematics) Electric power system Incentive 0202 electrical engineering electronic engineering information engineering Interrupt Random matrix Energy (signal processing) lcsh:Environmental sciences |
| Zdroj: | E3S Web of Conferences, Vol 185, p 01024 (2020) |
| ISSN: | 2267-1242 |
| Popis: | The ubiquitous power Internet of things (UPIoT) can realize the wide interconnection of all links of the power system. Based on this background, this paper proposes the price incentive agreement of distributed new energy aggregators and establishes distributed dispatching architecture. Firstly, the information transmission matrix of distributed new energy aggregators with the property of double random matrix is established, and the distributed sub-gradient algorithm based on information transmission matrix is used to solve the distributed dispatching model of new energy aggregators. Finally, the feasibility and effectiveness of the optimization model and its solution method are analyzed through simulation examples, and the information interrupt, information error that may be encountered are also discussed. |
| Databáze: | OpenAIRE |
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