Power distribution and automation stand to gain greatly from the widespread use of connected devices made possible by the advent of the Internet of Things (IoT). The reliability of a SCADA (Supervisory Control and Data Acquisition) system has been extensively shown in the substation environment. The fundamental problem with distribution automation is the lack of distribution-side management, mostly from the field’s geographically dispersed workforce. As a result of their dispersed locations, there has been inadequate tracking of their distribution channels. The smart grid is a power system incorporating evolutionary computing, bidirectional communication, two-way electrical flow, and real-time monitoring. Hence, this paper Internet of Things based Integrated Smart Grid Distribution Management System (IoT-ISGDMS) with fog computing has been presented that addresses issues such as power quality assurance, pole transformers health, and customer consumption in distribution automation. In this paper IoT-ISGDMS uses fog computing which analyzes distribution automation in real-time, making this possible. As a first step, IoT-ISGDMS uses intelligent acceptance systems (IAS) to improve coordination between smart grids and other electronic infrastructures. The second step is to perform comprehensive data analysis, automatically recognize any possible problems, and offer more intelligent fault detection and diagnosis to cut down on time and money spent on maintenance. In conclusion, as the degree of system intelligence rises safeguarding data privacy and the safety of networks will become critical priority areas.