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195198 https://hdl.handle.net/2286/R.2.N.195198 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2024 133 pages Masters Thesis Academic theses Text eng Parthasarathy, Hari Krishna Achuthan Hedman, Mojdeh Vittal, Vijay Ayyanar, Raja Arizona State University Partial requirement for: M.S., Arizona State University, 2024 Field of study: Electrical Engineering The increasing penetration of residential roof-top photovoltaic (PV) units causes severe power quality issues including voltage violation and voltage unbalance within the distribution feeder. Legacy VAr devices, which were conventionally used to mitigate voltage violation issues within the distribution feeder, are incapable of providing a solution due to the fast voltage fluctuations caused by inverter-based resources. The sparsity and cost of installation and maintenance of these devices also prevent them from being an effective solution. The swift adoption of Electric Vehicles (EVs) also contributes to voltage unbalance issues, where the rapid change in demand due to multiple charging loads rules out conventional solutions to voltage balancing. With the introduction of the IEEE 1547-2018 standards, Smart Inverters (SIs) are enabled to provide reactive power support using four different operational modes and voltage support using one active power operational mode. The fast control action, and the distributed and localized presence of these SIs enable them to provide a solution to all the shortcomings mentioned above. To maximize the efficiency of these SIs to mitigate the issues feeder-wide, an efficient Distributed Energy Resource (DER) scheduling tool is required. The consequent work presented in this thesis investigates the popularly utilized reactive power and active power operational modes, by creating a DER scheduling tool utilizing a robust Distribution Optimal Power Flow (DOPF) model, the Current Voltage ACOPF (IVACOPF). Furthermore, a comprehensive Unified Mode Selection (UMS) framework is presented to optimally select the mode and set point of operation within the DER scheduling tool to minimize operational cost and mitigate voltage issues. The main objective of this work is to maximize deliverability subject to reliable and nominal distribution system operation. Electrical Engineering Distributed Energy Resources Distribution AC Optimal Power Flow IEEE 1547 Smart Inverters Volt-VAr Operational Mode Watt-VAr Operational Mode A Unified Mode Selection Framework for DER Scheduling Tool Considering Unbalanced Distribution Systems