## 1 Introduction
It will include a concise description of the current status, a summary analysis of the electric distribution system in smart grid with distributed generation, an overview of the interaction and synergy between the electric distribution system and ICT (information and communications technology), and finally a concise description of the electric distribution and future smart grids. As disclosed by a literature survey, many researchers have examined the integration of EVs in smart grid (SG) and EV charging stations [23; 24; 25; 26; 27; 28; 29; 30; 31], vehicle-to-grid (V2G), renewable energy sources integration and SG operation in view of large-scale integration of EVs enabling V2G systems [32; 33; 34; 35]. There are some works dedicated to electric distribution grids, the integration of distributed generation (DG) in the power distribution network in the framework of SGs [36; 37; 38; 39; 40; 41; 42]. For instance, [PERSON] [36] reviewed the existing studies on distribution system optimisation problem from the viewpoint of the optimisation algorithm, objectives, decision variables, load model, case study, planning type and planning period that they used. The review found that although diverse optimisation algorithms have already been applied to distribution system optimisation problems, developing efficient algorithms with the ability of escaping from local optima and finding near-global solutions is required. This review also found that some aspects of distribution systems such as deregulation and demand side management have not been taken into account in modelling distribution system optimisation problem. [PERSON] et al. [37] quantified the impact that EV charging will have on transmission and distribution systems, and investigated how far smart charging can be used to reduce the impact on both systems. They analysed the effects that charging a large electric vehicle fleet would have on the power network, taking into account the spatial heterogeneity of vehicle use, electricity demand, and network structure. [PERSON] et al. [38] reviewed probabilistic load flow approaches for power distribution systems including photovoltaic generation and electric vehicle charging. [PERSON] et al. [39] assessed the technical challenges for electric power industries with implementation of distribution system automation in smart grids. They discussed switching DG sources, load deferral strategies and direct load control to achieve a reduction in load during peak periods, as well as the load management by load filling during off-peak periods. [PERSON] [40] reviewed reliability models and methods for estimating renewable energy resources influence on electrical generation availability. The models and methods may be used to evaluate the impacts on the distribution system's reliability of distributed generation integration, especially when they are based on renewable energy sources. Results showed that the impact of DG on the reliability of electric distribution systems depends mainly on the operational mode and the energy source in which it is based. [PERSON] et al. [41] developed and implemented in the city of Malaga, Spain, the integration of the applications of a SG and the use cases (UCs) for the different functionalities of SG. The smart city architecture proposed envisioned a hierarchical, distributed, and autonomous structure to address the challenge of smart distribution grids. Their results disclosed that new levels of standardization of languages and protocols and new interconnection functions will be required, allowing smart devices to recognize each other so that they can reconnect in case of failure regardless of the state of the network topology. They also concluded that renewable energy sources can be optimally integrated into the distribution grid. Generation can approach consumption through the installation of photovoltaic panels and mini-wind generators, with the reuse of electrical infrastructure. [PERSON] et al. [42] assessed the integration of renewable energy in a smart grid system.