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ItemAdvanced Planning of PV-Rich Distribution Networks - Deliverable 3: Traditional SolutionsProcopiou, A ; Petrou, K ; Ochoa, L (Department of Electrical and Electronic Engineering, The University of Melbourne, 2020)This document investigates the adoption of traditional solutions such as change of off-load and on-load tap changer positions and/or network augmentation to increase the hosting capacity of PV-rich distribution networks considering the new Victorian Volt-Watt and Volt-var settings which mandates that both power quality response modes are enabled. Studies are performed on four fully modelled and significantly different HV feeders (i.e., urban and rural) considering time-series seasonal analyses with growing penetrations of solar PV. Findings show that enabling both Volt-Watt and Volt-var functions with the Victorian settings provides significant benefits to both DNSPs and customers. Voltage rise issues and curtailment are dramatically reduced, making it possible to host 20% of customers without the need for other solutions. Adopting traditional solutions can help increase the solar PV hosting capacity to 40% (excluding HV feeders with long SWER lines). However, beyond 40%, traditional solutions were found to have limited effectiveness in mitigating network issues.
ItemAdvanced Planning of PV-Rich Distribution Networks - Deliverable 2: Innovative Analytical TechniquesProcopiou, A ; Ochoa, L (Department of Electrical and Electronic Engineering, The University of Melbourne, 2019-10-22)This document presents a smart meter-driven analytical technique proposed by The University of Melbourne to estimate PV hosting capacity in distribution networks. Two significantly different HV feeders, urban and rural, are modelled in detail with growing PV penetrations in a horizon of 5 years to create a large realistic smart meter data set. The analytical technique is then applied to this data set for different PV penetrations. The findings show that the proposed analytical technique provides adequate estimations of PV hosting capacity, making it a faster and simpler alternative to model-based approaches.
ItemAdvanced Planning of PV-Rich Distribution Networks - Deliverable 1: HV-LV modelling of selected HV feedersProcopiou, A ; Ochoa, L (Department of Electrical and Electronic Engineering, The University of Melbourne, 2019-06-10)This document first presents the process adopted by The University of Melbourne in collaboration with AusNet Services to select the HV feeders that will be modelled and used throughout the project. Then, the selected HV feeders are fully modelled along with their corresponding LV networks using the software OpenDSS.