电力系统自动化2023，Vol.47Issue(24)：90-99,10.DOI:10.7500/AEPS20230425002
电动汽车与直流配电网协同的分布式自适应滚动预测调度
Distributed Adaptive Rolling Predictive Scheduling Based on Coordination of Electric Vehicles and DC Distribution Networks
摘要
Abstract
In order to fully tap the flexible scheduling potential of electric vehicles(EVs),a distributed adaptive rolling predictive scheduling method based on the coordination of EVs and DC distribution networks is proposed.Firstly,the mathematical models of voltage source converter,energy storage and power flow of DC distribution networks are established.Then,the mathematical models of non-schedulable,charge-only and charge-discharge EV charging preferences are constructed,and the adaptive rolling predictive scheduling model of DC distribution networks is established with the goal of minimizing the weighted sum of daily energy loss and photovoltaic curtailment.The scheduling window is dynamically updated through the pick-up time of real-time EV clusters to meet the expected power demand of each EV.Finally,the distributed rolling predictive scheduling model of DC distribution networks is established,and the alternating direction method of multipliers is used to achieve distributed solution,so as to solve the problem of large communication traffic of centralized scheduling.The simulation results show that the cooperative scheduling of EV and DC distribution network flexibility resources can significantly reduce power loss and improve the acceptance capability of distributed power supply.At the same time,the distributed algorithm adopted has good convergence performance and computing speed.关键词
直流配电网/电动汽车/电压源型换流器/滚动预测调度/自适应模型预测控制/交替方向乘子法Key words
DC distribution network/electric vehicle/voltage source converter/rolling predictive scheduling/adaptive model predictive control/alternating direction method of multiplier引用本文复制引用
梁栋,邱馨洁,刘琪,王笑雪,王守相..电动汽车与直流配电网协同的分布式自适应滚动预测调度[J].电力系统自动化,2023,47(24):90-99,10.基金项目
河北省自然科学基金资助项目(E2021202053) （E2021202053）
河北省省级科技计划资助项目(20311801D,21567605H).This work is supported by Hebei Provincial Natural Science Foundation of China(No.E2021202053)and Science and Technology Planning Project of Hebei Province of China(No.20311801D,No.21567605H). （20311801D,21567605H）
