Electrical and Electronic Engineering - Research Publications
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ItemAdvanced Planning of PV-Rich Distribution Networks - Deliverable 2: Innovative Analytical Techniques(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.
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ItemAdvanced Planning of PV-Rich Distribution Networks - Deliverable 1: HV-LV modelling of selected HV feeders(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.
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ItemResidential battery controller for solar PV impact mitigation: A practical and customer-friendly approach(CIRED, 2019)The rapid adoption of residential solar photovoltaic (PV) systems combined with the falling prices of residential battery energy storage (BES) systems is paving the way for a future in which customers could locally supply most of their energy needs. However, as off-the-shelf (OTS) residential BES systems operate for the sole benefit of the customer, there are no guarantees that they will be able to charge during periods of peak solar generation; thus being unable to mitigate overvoltage and asset congestion issues resulting from reverse power flows. This work proposes a practical adaptive decentralized (AD) controller that, throughout the day, constantly adapts the charging and discharging power rate of the BES system so that reverse power flows are significantly reduced whilst still reducing customer grid imports. Its performance is assessed on a real Australian medium voltage feeder with realistically modelled low voltage networks and smart meter data. Results highlight that the proposed AD controller overcomes the limitations of the OTS by mitigating technical issues while still bringing similar reductions in electricity imports.