| Issue |
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 6 | |
| Section | Clean Energy Utilization and Energy Storage Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202344101011 | |
| Published online | 07 November 2023 | |
Optimal Scheduling Strategy for Photovoltaic Charging Stations Participating in the Electricity Market based on Transactive Energy Mechanism
1 State Grid Anhui Electric Power Co., Ltd. Economic and Technical Research Institute, Hefei, China
2 State Grid Anhui Electric Power Co., Ltd., Hefei, China
* Correspondence: lus4403@163.com
Regarding the optimization and management of energy in photovoltaic charging stations, existing research mostly focuses on the power grid, with little consideration given to its characteristics as a producer and consumer. This paper proposes an optimized scheduling strategy for photovoltaic charging stations that considers transactive energy mechanisms. Firstly, under the premise of ensuring the safe operation constraints of the distribution network, a distributed transaction model for photovoltaic charging stations was established. Secondly, the optimization model is solved using the Lagrangian decomposition principle and Subgradient method to obtain the scheduling plan of the photovoltaic charging station. The simulation results indicate that the scheduling strategy proposed in this article can promote the on-site consumption of renewable energy and improve the economy of photovoltaic charging stations.
© The Authors, published by EDP Sciences, 2023
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