Multi-time Scale Energy Management Strategy of Aggregator Characterized by Photovoltaic Generation and Electric Vehicles
| Autor: | Guangya Yang, Peng Hou, Junjie Hu, Huayanran Zhou, Yang Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Schedule
TK1001-1841 convex optimization Computer science Energy management 020209 energy Scheduling (production processes) Energy Engineering and Power Technology robust optimization TJ807-830 02 engineering and technology computer.software_genre Automotive engineering photovoltaic (PV) Renewable energy sources News aggregator Electric power system Production of electric energy or power. Powerplants. Central stations 0202 electrical engineering electronic engineering information engineering SDG 7 - Affordable and Clean Energy Aggregator (Agg) Photovoltaic (PV) Renewable Energy Sustainability and the Environment 020208 electrical & electronic engineering Photovoltaic system Aggregated electric vehicle (EV) Robust optimization Convex optimization computer aggregator (Agg) |
| Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 4, Pp 727-736 (2020) Hu, J, Zhou, H, Li, Y, Hou, P & Yang, G 2020, ' Multi-time Scale Energy Management Strategy of Aggregator Characterized by Photovoltaic Generation and Electric Vehicles ', Journal of Modern Power Systems and Clean Energy, vol. 8, no. 4, pp. 727-736 . https://doi.org/10.35833/MPCE.2019.000464 |
| ISSN: | 2196-5420 |
| Popis: | The increasing number of photovoltaic (PV) generation and electric vehicles (EVs) on the load side has necessitated an aggregator (Agg) in power system operation. In this paper, an Agg is used to manage the energy profiles of PV generation and EVs. However, the daily management of the Agg is challenged by uncertain PV fluctuations. To address this problem, a robust multi-time scale energy management strategy for the Agg is proposed. In a day-ahead phase, robust optimization is developed to determine the power schedule. In a real-time phase, a rolling horizen-based convex optimization model is established to track the day-ahead power schedule based on the flexibilities of the EVs. A case study indicates a good scheduling performance under an uncertain PV output. Through the convexification, the solving efficiency of the real-time operation model is improved, and the over-charging and over-discharging problems of EVs can be suppressed to a certain extent. Moreover, the power deviation between day-ahead and real-time scheduling is controllable when the EV dispatching capacity is sufficient. The strategy can ensure the flexibility of the Agg for real-time operation. |
| Databáze: | OpenAIRE |
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