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
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.