Abstract
In the research of Vehicle-to-grid (V2G), the large-scale EVs needs to be aggregated to participate in the charging/discharging strategy. Aiming at the problem of electric vehicles (EVs) in aggregator participating in dispatching plan, this paper proposed an orderly scheduling strategy of the EV in the aggregator (Vehicle-to-Aggregator, V2A). Under the condition of real-time price, an index evaluation system of the EVs has been established, which consider the randomness and credit of EV users. This paper first analyzed the impact of the declaration information on the schedule plan. With the consideration of declared scheduling capacity, EV user’s credit, battery loss and the degree of participation as the evaluation index, the evaluation index system of the EV aggregator is proposed. Then, the weight of each index is determined, which uses the method of combination weighting based on the Accelerated Genetic Algorithm. Then the scheduling priority of EVs in the aggregator can be obtained. Finally, combining with the dispatching plan of power grid, the actual scheduling capacity of aggregators at different nodes in each period is determined. The simulation results show that the strategy proposed in this paper can consider the influence of various indexes of EVs on schedule, and effectively realize the dispatching plan for aggregators.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China (51507022).
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Xie, W., Zhang, Q., Liu, H., Zhu, Y. (2018). An Orderly Charging and Discharging Scheduling Strategy of Electric Vehicles Considering Demand Responsiveness. In: Li, K., Zhang, J., Chen, M., Yang, Z., Niu, Q. (eds) Advances in Green Energy Systems and Smart Grid. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 925. Springer, Singapore. https://doi.org/10.1007/978-981-13-2381-2_11
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DOI: https://doi.org/10.1007/978-981-13-2381-2_11
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