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198208 https://hdl.handle.net/2286/R.2.N.198208 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2024 2026-12-01T11:31:58 165 pages Doctoral Dissertation Academic theses Text eng Dalal, Dhaval Pal, Anamitra Ayyanar, Raja Vittal, Vijay Weng, Yang Arizona State University Partial requirement for: Ph.D., Arizona State University, 2024 Field of study: Electrical Engineering The desired growth in renewable energy needed to meet the global decarbonization targets must contend with the likely adverse impacts these resources have on modern distribution systems. To minimize the impacts, this research develops and validates a novel methodology for robust voltage regulation in renewable-rich distribution systems (RRDS). First, the report introduces the challenges of voltage regulation in RRDS and a survey of the existing methodologies is provided. The concept of hosting capacity (HC) studies is also explained. In the second part of the report, a detailed analysis of the limitations of prevailing approaches in achieving high HC is conducted. In addition to localized control, the analysis identified a previously unreported limiting factor: cross-phase sensitivity. This factor is explored in-depth in the next part of the report through an analytical explanation supported by simulation results. In the fourth part of the report, the dynamic nature of the voltage-reactive power-sensitivity matrix (VQSM) and its impact on the voltage regulation performance are considered. The recognition of three major factors (requirement of system-wide voltage information, accounting for cross-phase sensitivity effects, and need for dynamic refinement of VQSM) led to formulation of a novel voltage regulation algorithm - coordinated, optimized, cross-phase inclusive, iterative (COCPIT) control - which incorporates the three factors to yield a superior voltage regulation performance. An analysis of COCPIT control results and comparisons with other approaches are provided next. The comparisons are made in multiple dimensions and over diverse use cases – clearly demonstrating effectiveness of the research output. Next, the methodology is extended to show elimination/reduction of capacitor banks (CBs) and load tap changers (LTCs). Lastly, a machine learning model is developed to facilitate real-time implementation of the algorithm. In conclusion, this research provides a pathway to combine data-driven system awareness mechanisms with physics-informed optimization methodology to enable robust voltage regulation in RRDS. When applied to a complex distribution system, it demonstrated a three-fold improvement in HC without active power curtailment, while reducing the need of CBs/LTCs significantly. It is hoped that this research will have a major role in increasing renewable energy penetration in modern distribution systems. Electrical Engineering COCPIT Control Critical PV Penetration Distribution System Voltage Regulation Hosting capacity Renewable Energy Data-Driven Voltage Regulation in Renewable-Rich Distribution Systems Considering Practical Challenges