The implementation of distributed energy resources (DERs) has provided the grid with many benefits. It has diversified the grid with new and advanced technology by adding energy generation to the electric power distribution sector. Although DERs make the grid more reliable and resilient, they can significantly alter the voltage profile and impact various voltage control devices. This causes the distribution system to experience unwanted losses, high maintenance costs, and reduced equipment lifetime. A solution to this is to implement an advanced distribution management system (ADMS). An ADMS is a software platform that manages grid assets, provides automated outage restoration, and optimizes the distribution gridβs performance. This thesis investigates a function of an ADMS called volt/var optimization (VVO) within a specific distribution system. VVO utilizes volt/var control (VVC) devices and the conservation voltage reduction (CVR) technique in order to maintain an optimal voltage across the system. In this thesis, the IEEE 13 Bus system is employed for testing. The optimal Volt-Var setpoint is obtained using the Lagrangian to create a Python algorithm that provides an optimal solution given multiple constraints. Integrated with Python is the open-source distribution simulation software, OpenDSS. OpenDSS has the ability to simulate the system, provide analysis and alter VVC devices to maintain the calculated optimal voltage and vars induced throughout the 13-bus system. Being able to analyze and simulate this system will allow for a more efficient and modernized grid
