摘要
针对高比例电动汽车(EV)接入电网,常规量化模型难以解决由大规模决策变量导致的运算效率低下的问题,提出一种由下至上的方法来描述集群EV的灵活性。首先,计及车主行为及EV电池的物理特性,通过描述功率、电能边界实现单位EV功率可行域的量化。然后,基于其统一的表达形式,对边界进行闵氏求和建立虚拟电池模型描述集群EV的功率可行域。最后将所提模型应用于高比例电动汽车及风电协调参与的机组组合问题,并通过仿真算例验证了其可行性。
Aiming at the problem that the conventional quantitative model is difficult to solve the computational inefficiency problem caused by large-scale decision variables when the high proportion of electric vehicles(EVs) connecting to grid, a bottom-up approach is proposed to describe the flexibility of the EV cluster. Firstly, taking into account the behavior of the owner and the physical characteristics of the EV battery, the unit EV power feasible domain is described quantitatively by characterizing the power and energy boundaries. Then, a virtual battery model is established to describe the power feasible domain of the EV cluster by adopting the Minkowski sum of the boundaries based on its unified expression. Finally, the proposed model is applied to the unit combination problem considering cooperated dispatch of high proportion of EVs and wind power generation, and the feasibility and superiority are verified by simulation examples. It is also proved that the system operation cost can effectively reduce with the unit commitment strategy considering the EV scheduling flexibility and cooperated dispatch of electric vehicles and wind power generation.
作者
荣经国
艾欣
吴界辰
田原
张璐
RONG Jingguo;AI Xin;WU Jiechen;TIAN Yuan;ZHANG Lu(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;State Grid Shaanxi Xi’an Power Supply Company, Xi’an 710032, China)
出处
《智慧电力》
北大核心
2019年第5期25-31,共7页
Smart Power
基金
国家重点研发计划资助项目(2016YFB0900500)
北京市自然科学基金项目(3182037)~~
关键词
机组组合
电动汽车
调度灵活性
虚拟电池模型
风电
unit commitment
electric vehicle
scheduling flexibility
virtual battery model
wind power
