Prime concerns that exist with renewable energy systems (RES) based medium/lowvoltage (LV) distribution networks (DNs) are; a) intermittent nature of renewable energies like solar PV power, and b) consequent reverse power flow. These LV networks being dominantly resistive tend to have voltage rise occurrences and ultimate reverse power flow. Intermittency associated with RESs, is countered by well knitted voltage regulation regime, which swiftly responds to these changing dynamics. Modern DNs with battery energy storage systems (BESSs) as key attribute, facilitates storage of surplus power and strategically discharge in absence of RESs to meet the load demand.All the RESs may interchangeably be thus called inverter-based sources (IBRs). These smart inverters are capable of operating in both the quadrants of 𝑃-𝑄 plane as per the reactive power (𝑄) and active power (𝑃) adjustments needed at the time of operation. IBRs of different sizes and capabilities operate through grid-following voltage source converters (VSCs), for smooth operation of weak grid configurations, so that distant PV/battery operations do not violate grid codes and in fact furnish voltage strength to the grid. In order to develop an equivalent dynamic model (EDM) of an active distribution network, the modelling was deliberated, based on experimental measurements obtained from point of common coupling (PCC) and local nodes of IBRs. This modeling is inspired to perform stability analysis, such that modeling is targeted as multiple point operation, with realization of linear/non-linear characteristics for various zones of IBR operations. The experiment set up consisted of 40kW, 66 kWh Li-ion battery and programmable load connected at PCC, which in turn connected at 400V to utility grid. The observations are taken for different set points applied at the PV inverter under varying solar radiation profile. The PV inverter is perturbed with different set points and data is collected at PCC.