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

程慧琳; 武剑; 张晶; 李彦琳; 师锛博; 卢志刚

程慧琳,武剑,张晶,李彦琳,师锛博,卢志刚.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[J].电测与仪表,2024,61(11):122-132.
ChengHuilin,wujian,zhangjing,liyanlin,shibenbo,luzhigang.Research on the Strategy of Coordinated Loss Reduction of Transmission and Distribution Network Considering the Temporal and Spatial Distribution of EV Charging and Discharging[J].Electrical Measurement & Instrumentation,2024,61(11):122-132.

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 Strategy of Coordinated Loss Reduction of Transmission and Distribution Network Considering the Temporal and Spatial Distribution of EV Charging and Discharging

DOI：10.19753/j.issn1001-1390.2024.11.016

中文关键词: 电网网损输配协同分层优化电动汽车

英文关键词:network loss, coordination of transmission and distribution, hierarchical optimization, electric vehicles

基金项目:国网河北省电力有限公司科技项目

作者中文名	作者英文名	单位
程慧琳	ChengHuilin	国网河北省电力有限公司石家庄供电分公司
武剑	wujian	国网河北省电力有限公司石家庄供电分公司
张晶	zhangjing	国网河北省电力有限公司晋州市供电分公司
李彦琳	liyanlin	燕山大学电气工程学院
师锛博	shibenbo	燕山大学电气工程学院
卢志刚	luzhigang	燕山大学电气工程学院

摘要点击次数: 396

中文摘要:

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(EV)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。

英文摘要:

In order to reduce the grid loss and carbon emissions of the power grid and improve the overall economy of the power grid, a low-carbon strategy of transmission and distribution synergy loss reduction considering the temporal and 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 grids 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. 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 powe?r 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 power grids, 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.

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