<p>The electric distribution system is undergoing rapid integration of new technologies such as renewable energy resources, energy storage system, electric vehicles etc. The addition of these resources can cause over-voltage, reduced line hosting capacity, and overloading of distribution assets thus requiring dynamic visualization tools to operate them in a safe and secure manner. In addition, a real-world test-bed to study the problems in electrical distribution system and algorithms for their mitigation in a controlled and secure manner is also highly needed. Taking this problems into consideration, this study presents a test-bed primarily to test the algorithms for dynamic and predictive visualization, and electrical fault localization. The test-bed is a real-world operational distribution system of Kathmandu University which constitutes a supply transformer, electrical distribution lines (overhead and underground), and electrical loads. A total of six smart meters have been installed in the test-bed which sends data via wireless fidelity. These data are used to develop algorithms to determine and visualize the dynamic status of the test-bed. The algorithm is studied under various operating scenarios, including base, peak, and off-peak load conditions, and during fault events. The results show that the test-bed minimum voltage is 0.95&#xa0;pu and the line maximum loading is 60.2% which both occurs under peak loading condition but lies within the prescribed limits. Thus, the test-bed serves as a versatile platform for dynamic monitoring, predictive analysis, and practical education in smart grid operations</p>