计及电动汽车充放电时空分布的输配网协同降损低碳策略研究  

Research on the low-carbon strategy of coordinated loss reduction of transmission and distribution network considering the temporal-spatial distribution of EV charging and discharging

作　　者：程慧琳 武剑 张晶 李彦琳 师锛博 卢志刚[2] CHENG Huilin;WU Jian;ZHANG Jing;LI Yanlin;SHI Benbo;LU Zhigang(Shijiazhuang Power Supply Company,State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050000,China;Hebei Provincial Key Laboratory of Power Electronics Energy Conservation and Transmission Control,Yanshan University,Qinhuangdao 066004,Hebei,China)

机构地区：[1]国网河北省电力有限公司石家庄供电分公司,石家庄050000 [2]燕山大学河北省电力电子节能与传动控制重点实验室,河北秦皇岛066004

出　　处：《电测与仪表》2024年第11期122-132,共11页Electrical Measurement & Instrumentation

基　　金：国网河北省电力有限公司科技项目(kjcb2021-019)。

摘　　要：为了降低电网网损与碳排放以及提高电网整体的经济性,提出一种计及电动汽车充放电时空分布的输配协同降损低碳策略研究。在输电网层,以考虑输电网网络损耗的出清电价以及输配两级电网的售、购电量为输电网和配电网之间的交互变量,分别建立输电网以及配电网优化调度模型并协同降损;在配电网层,考虑电动汽车充放电的时空分布对配电网网损的影响,设置了电动汽车空间调度层,在输配两级电网调度资源的最优时间分布的基础上,对电动汽车的空间位置进行优化,进而优化配电网潮流,从而降低配电网网损,增加了光伏消纳率,减少了碳排放。在此基础上,采用并行子空间算法对模型进行求解,避免输配两级电网频繁的信息交互,极大地提高了求解效率,求解结果显示,相对于传统算法,其迭代耗时降低了一个数量级。最后,通过仿真算例验证了提出模型的有效性。In order to reduce the grid loss and carbon emissions of the power grid and improve its overall economy,a low-carbon strategy of coordinated loss reduction of transmission and distribution network considering the temporal-spatial distribution of electric vehicle charging and discharging is proposed.At the transmission network level,considering the clearing price of the transmission network loss and the sales and purchase of the transmission and distribution network as the interaction variables between the transmission network and the distribution network,the optimal dispatching model of the transmission network and the distribution network are established and the loss reduction is coordinated.At the transmission network level,considering the influence of the spatial-temporal distribution of EV charging and discharging on the network loss of the distribution network,a spatial scheduling layer of EV is set up.On the basis of the optimal time distribution of power grid dispatching resources at the two levels of transmission and distribution,the spatial location of electric vehicles is optimized,and then the power flow of distribution network is optimized,so as to reduce the network loss of distribution network,increase the photovoltaic consumption rate and reduce carbon emissions.On this basis,the parallel subspace algorithm is used to solve the model,which avoids the frequent information interaction between the transmission and distribution network,which greatly improves the solution efficiency,and the solution results show that compared with the traditional algorithm,the iteration time is reduced by an order of magnitude.Finally,the effectiveness of the proposed model is verified by simulation examples.

关 键 词：电网网损 输配协同 分层优化 电动汽车 

分 类 号：TM732[电气工程—电力系统及自动化]