摘要
针对可入网电动汽车和风电出力随机性对电力系统运行状态的影响,综合考虑电动汽车在无控充电、持续充电、延迟充电和完全优化充电模式下的运行特点,并结合系统运行的约束条件构建了风电?电动汽车协同调度多目标优化模型。然后,提出了基于改进?约束方法与模糊决策理论的两步制自适应模型求解方法,得到隶属度最优的系统运行方案。最后,以IEEE36节点10机系统进行算例仿真并对电动汽车并网数量进行敏感性分析,结果表明:所提方法在求解风电?电动汽车协同调度问题时具有可行性和有效性;电网汽车在完全优化充电模式下并网具有更好的削峰填谷效果,能够为风电提供更多的备用服务,降低弃风电量;随着电动汽车并网数量的增加,风电弃风电量和火电发电成本均逐渐降低。
According to the influence of the randomness of both plug-in hybrid electric vehicles （PHEV） and power output of wind farm,synthetically considering the operating features of PHEV under such modes as uncontrolled charging,continuous charging,delayed charging and fully optimized charging and combining with constraints of power grid operation a multi-objective optimization model for synergistic scheduling of wind power and PHEV is proposed; then,to solve the constructed model,based on improved ε constraint method and fuzzy decision theory a two-step adaptive solution method is put forward to attain a power grid operating scheme with the best membership; finally,a hybrid power grid composed of IEEE 36-bus 10-machine system and wind farm with the installed capacity of 650 MW is taken as the case and simulated,meanwhile the sensitivity analysis on the amount of grid-connected PHEV is performed.Simulation results show that the proposed method model is feasibly and effective when it is used to solve the synergistic scheduling of wind power and PHEV; a better peak load shaving effect could be achieved while the grid-connection of PHEV is carried out under the fully optimized charging mode and more reserve service can be offered for wind farm and the wind power curtailment could be reduced; with the increase of the amount of PHEV,both wind power curtailment and the cost of thermal power generation can be decreased.
出处
《电网技术》
EI
CSCD
北大核心
2014年第6期1492-1498,共7页
Power System Technology
基金
国家自然科学基金项目(71071053
71273090)~~
