考虑电动汽车虚拟储能的高渗透配电网鲁棒优化调度

Robust optimal scheduling of high permeability distribution network considering EV⁃VES

中文关键词: 电动汽车虚拟储能  有序充放电  可再生分布式电源  鲁棒优化调度

英文关键词: EV⁃VES  orderly charge and discharge  RDG  robust optimal scheduling

中文摘要:

      针对可再生分布式电源和电动汽车大量接入后给配电网带来的挑战，提出了一种综合考虑电动汽车接入随机性和分布式电源出力不确定性的鲁棒优化调度模型。首先，分析了分布式电源与电动汽车负荷的协同特性，结合电动汽车充放电管理方法与各类电动汽车的停驶特点，建立了可供调度的电动汽车虚拟储能容量估算模型；然后，利用鲁棒随机优化理论描述风光不确定性，以净负荷波动最小和电动汽车用能成本最低为目标函数，构造了优化调度模型及求解算法。最后，以某配电网为算例对所提模型与算法进行验证，结果表明：对电动汽车的充放电价格、功率及时间进行集中优化调控，能够达到协同可再生能源出力、平抑负荷波动的目的，削峰填谷效果显著。

英文摘要:

      Aiming at the challenges brought to the distribution network after the massive access of renewable distributed generation（RDG）and electric vehicle（EV）, a robust optimal scheduling model considering the randomness of EV access and the uncertainty of RDG output is proposed. Firstly, the collaborative characteristics of RDG and EV load are analyzed. Combined with EV charging and discharging management method and the stopping characteristics of all kinds of EV, an estimation model of EV-VES capacity for dispatching is established. Then, the robust stochastic optimization theory is used to describe the uncertainty of wind and solar power, and the minimum net load fluctuation and the mini-mum energy cost of EV are taken as the objective functions to construct the optimal scheduling model and algorithm. Finally, a distribution network is taken as an example to verify the proposed model and algorithm. The results show that centralized optimization control of charging and discharging price, power and time of EV can achieve the purpose of coordinating renewable energy output and suppressing load fluctuation, and the effect of peak load reduction and valley filling is significant.