Day-ahead active distribution network optimal schedule with EV penetration

Xiao, Hao; Xia, Ge; Zhao, Zhenxing

doi:10.1109/drpt.2015.7432704

Cited by 2 publications

(1 citation statement)

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“…Reference [10] proposed a day ahead active distribution network optimal schedule with EV penetration, in which the model is to take the lowest operating cost in each calculation period. Reference [11] considered scheduling EV charging load to improve the wind power penetration and reduce charging cost, in which EV load is formulated as the robust shortest path Markov Decision Process to obtain a robust charging policy.…”

Section: Introductionmentioning

confidence: 99%

A Two Stage Optimal Strategy for Centralized Charging Stations Planning in High Voltage Distribution System

Xiong¹,

Wang²,

Zhu³

et al. 2017

Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

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Abstract. Charging and discharging control of centralized charging station becomes more important in power system operation. In order to achieve a load shifting and wind power stabilizing, this paper presents a two-stage optimal scheduling model for centralized charging stations based on the considerations of the users' requirements and battery limits. The first stage is a dispatch strategy in day ahead aimed at smoothing the composite curve of load and wind power, and a PSO algorithm with penalty function constraint is proposed to solve the model. The second stage established a 10 minutes real time scheduling policy of centralized charging station based on the results of the first stage optimization, in order to reduce the volatility of wind power curve through the automatic SOC regulating principle. Simulation results show that the two-stage dispatch can achieve load shifting and wind power stabilizing on the basis of meeting users' needs.

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Section: Introductionmentioning

confidence: 99%