电动汽车峰谷分时充放电价同步优化模型研究

发布时间：2018-04-27 14:54

  本文选题：削峰填谷 + 充放电价　； 参考：《电网与清洁能源》2017年02期

【摘要】：电动汽车在无引导机制下入网会导致负荷随机性变化,增加系统控制难度。通过制定电动汽车峰谷分时充放电价能够引导电动汽车用户分时段入网参与充放电,进而有利于系统负荷的削峰填谷。首先,通过蒙特卡罗模拟法建立单台电动汽车无序模式下充放电功率模型,并分析规模化入网对系统负荷的影响;然后,构建电动汽车充放电价同步优化模型,建立电动汽车充放电电量与充放电价的联系,实现充放电价的同步优化;最后,利用粒子群优化算法对模型进行求解。算例表明,通过制定电动汽车峰谷分时充放电价同步优化策略能够达到系统负荷削峰填谷的目的,同时能够增加电动汽车用户的收益。
[Abstract]:The load of electric vehicle entering the network without guidance mechanism will cause random change of load and increase the difficulty of system control. By setting the charge and discharge price of the peak and valley of electric vehicle, the users of electric vehicle can be guided to charge and discharge in different periods, which is beneficial to cutting the peak and filling the valley of the system load. Firstly, the charging and discharging power model of a single electric vehicle under disordered mode is established by Monte Carlo simulation, and the influence of scale network on the system load is analyzed, and then, the synchronous optimization model of charge and discharge price of electric vehicle is constructed. The relationship between charge and discharge price and charge / discharge price of electric vehicle is established to realize synchronous optimization of charge / discharge price. Finally, particle swarm optimization algorithm is used to solve the model. The example shows that the optimization strategy of peak / valley time-sharing charge / discharge price of electric vehicle can achieve the purpose of cutting the peak load and filling the valley, and can increase the profit of the electric vehicle user at the same time.
【作者单位】： 上海电力学院经济与管理学院;
【基金】：国家自然科学基金青年项目(51507099) 上海市教委科研创新项目(13YS092) 上海市社科规划一般课题(2015BGL002)~~
【分类号】：F426.471;F426.61
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本文编号：1811178