Supervisors
A/Prof Jahangir Hossain and Dr Ibrahim Ibrahim (UTS)
Bill Tarlinton (Zepben) and Dr Carlos Macana (Essential Energy)
The project
This PhD project on dynamic hosting capacity aims to develop an effective decision support framework based on artificial intelligence (AI)-based algorithms for modelling, analysing, and coordinating the behaviours of photovoltaic systems, storage batteries and electric vehicles to increase their penetration levels without breaching the network constraints and any extra investments. It will allow the industry partner to integrate the proposed tool with their existing software platforms.
The intended outcome of the project is a flexible and scalable tool to accurately calculate and enhance to dynamic hosting capacity of distributed energy resources. End-users will benefit from the maximum return on their investment, reduced photovoltaic (PV) curtailment and higher reliability, with the added benefit of reduced CO2 emissions. The research community will benefit from new knowledge that will underpin international improvements in distributed energy resources modelling and hosting capacity.
Research Partner
Industry Partner
Student
Expected Start Date
February 2023
Expected End Date
February 2026
Project Code
0380
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