This document provides detailed documentation of the lab access project titled, "Distributed Energy Storage Simulations in Real-Time Environment" with the acronym DESiRE. The project deals with real-time scheduling of Battery Energy Storage devices, namely BESS, which can support a medium-voltage distribution network with high PV penetration. The project makes use of the planning of a distribution network and delves further into the scheduling problem. Realtime BESS scheduling is important, as it covers the forecasting errors, and thus the undesired effects of perturbations not considered in the planning phase can be minimized. The project considers an IEEE-33 bus distribution network for the optimal placement and sizing of a predetermined number of BESS.Aplanningalgorithm is developed based on the objectives namely voltage deviation, line loss minimization and the minimization of line loading. Apart from the predetermined BESS number constraints, the constraints are other energy balance and power balance equality constraints and limit-based inequality constraints. The planning scenario offers the size and the locations of the storage units in the network, and the scheduling algorithm works on a limited search space and thus can run an optimization algorithm in a short time. However, the scheduling algorithm conventionally does not support deviations in the standard load profiles, and therefore, a beta distribution function is used to generate a small amount of forecasting errors in the profiles. Modification in the load profile input helps take into account, the changes in the load in real-time, thus rescheduling the BESS profiles. The scheduling method is made more robust in the DESiRE project as a collaboration between the University of Malta and RWTH Aachen. The entire process of scheduling is now translated to real-time simulations, thus making it an online optimization approach. This is pursued with the help of VILLASNode, which is a flexible gateway that enables interaction between MATLAB and RTDS, even for different IP. The VILLASNode framework actuates a two way communication between MATLAB and RTDS, and thus MATLAB is emulated as a Controlled-in-the-loop. In order to simulate the IEEE-33 bus network on two-cores of RTDS available in the home institution, i.e., the University of Malta, a holistic reduction of the network was performed while maintaining the sanctity of the full network. Therefore the MATLAB based optimization was performed on the full network to generate the power references for the BESS, and the same references was used by the reduced network in the RTDS. A feedback loop was designed to reduce the error between the standard load profiles and the forecasted load profiles. The proposed feedback loop helps in mitigating this effect.