The new power system driven by the "dual carbon" goal cannot adapt to the top-down energy/power balance mode at different temporal and spatial scales.Therefore, it is urgent to conduct relevant research on the construction path of the future power grid, particularly the distribution network. The micro-energy network, a comprehensive energy network with self-balance regulation ability, can leverage the pivotal role of power grids in promoting zero-carbon/low-carbon energy production and consumption and will play a pivotal role in future power grid transformation and upgrading. First, the evolution stages and modes of traditional distribution networks, active distribution networks, and future low-carbon distribution networks are summarized and compared. Second, based on the characteristics of "source-network-load" in the future, a type of future distribution network construction idea of bottom-up evolution layer by layer is proposed by constructing micro-energy network and utilizing the interconnection and interaction between micro-energy network units and distribution network. Additionally, a type of atomic future distribution network is introduced. Finally, future research directions for the evolution of distribution networks are discussed from different perspectives.

Extreme disasters such as earthquakes can cause severe damage to active distribution networks (ADN) and transportation networks. These disasters can lead to road damage, congestion, and large-scale power outage, which makes it difficult to restore power supply to the power grid. In this study, an ADN dynamic collaborative recovery strategy is proposed based on the characteristics of the traffic network and ADN after an earthquake. The proposed strategy integrates finite source and load resources, network reconstruction, and rush repair scheduling. First, a joint disaster damage model of roads and lines of the transportation network was constructed based on the relationship between the transportation network and ADN that is difficult to separate and map to each other after the earthquake. A model of the traffic rush repair travel time of the transportation network was established considering the comprehensive influence of the traffic capacity and traffic flow, and the ADN resilience index combining the time demand and load importance. Second, an ADN hierarchical dynamic cooperative restoration optimization model reflecting the post-earthquake traffic network conditions was established. The outer layer was targeted at determining the maximum resilience index and minimum total emergency repair time, whereas the inner layer was targeted at minimizing economic losses and weighted switch operation times. Third, the improved grey wolf optimization algorithm was used to solve the proposed model, and resources such as multi-type power generation, emergency demand response load, network reconstruction and emergency repair team were coordinated and optimized to improve the resilience of ADNs after earthquakes. Finally, the feasibility and effectiveness of the proposed strategy are verified using an example analysis of the earthquake damage scenario.

In recent years, the energy savings and loss reduction of power grids have been widely studied. As flexible regulated resources gain large-scale access to distribution networks, exerting the loss reduction potential of flexibly regulated resources by proposing a mobile energy storage device (MESD) and a network reconfiguration collaborative optimization strategy for loss reduction scenarios becomes necessary. The collaborative optimization strategy is divided into two stages. In the first stage, the source-load uncertainty is characterized by the scenario analysis method, and the network reconfiguration model is established with the minimum network loss as the objective function to obtain the network reconfiguration scheme. Owing to the large number of distribution network nodes, a network loss sensitivity analysis method is proposed to narrow the search range in order to enhance the efficiency of the solution, and the above reconfiguration scheme is combined with it to pre-screen the charging/discharging node set for MESD. In the second stage, the objective is to minimize the network loss of the distribution network and the traffic cost of mobile energy storage by considering the connection/operation state constraint, charging/discharging power or capacity constraint of the MESD, and the power balance and power flow safety constraint of the power network. A charging/discharging dispatching model of traffic network-power network convergence applicable to the MESD is constructed, and the CPLEX solver is invoked to solve the traffic planning and charging/discharging power dispatching plan of the MESD. Finally, a simulation analysis is performed using the IEEE 33-bus distribution system. The simulation results reveal that the active network loss of the system is reduced by 552.17 kWh, and the loss reduction range is reduced by 31.9%, verifying the effectiveness of the proposed strategy.