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Using AI and a hybrid ESS solution to fully integrate solar generation into the distribution system

Project Member(s): Xu, G.

Funding or Partner Organisation: University of New South Wales (University of New South Wales CRC-P)
Commonwealth Scientific and Industrial Research Organisation (CSIRO CRC-P)
Department of Industry, Innovation and Science (Cooperative Research Centre - Projects CRC-P)
Department of Industry, Innovation and Science (Cooperative Research Centre - Projects CRC-P)
Sungrow Australia Group Pty Ltd (Sungrow Australia Group Pty Ltd CRC-P)
H2Store Pty Ltd (H2Store Pty Ltd CRC-P)
Diamond Genest Pty Ltd (Diamond Genest Pty Ltd CRC-P)
Providence Investment Management Pty Ltd (Providence Investment Management Pty Ltd CRC-P)
Tong Yu Heavy Industry Co. Ltd (Tong Yu Heavy Industry Co. Ltd CRC-P)
Risen Energy (Australia) Pty Ltd (Risen Energy (Australia) Pty Ltd CRC-P)
Queensland Electricity Transmission Corp (Queensland Electricity Transmission Corp CRC-P)

Start year: 2019

Summary: The use of power-to-gas hydrogen technology will unlock the potential for load factors approaching 100%-an extremely efficient and cost-effective way of generating elect1icity. It will also mitigate the fluctuation of renewable generation and increase confidence in the security of supply. We expect the implementation of an effective storage system will deliver a true dispatch solution in which solar generation can cover supply 24/7 and potentially be used as an alternative to baseload. This firming of output will also mean solar farms are able to gain more income through solar power purchase agreements (PPA) which, in turn, will provide a path to more affordable power for consumers. Through student placements and the training of young researchers, this project-the first of its kind-will bring a skills uplift. We will share the research finding in the community, and the deliverables are applicable to all solar farms in Australia.

Publications:

Zhao, M, Shu, Y, Liu, S & Xu, G 1970, 'Electricity Price Forecast using Meteorology data: A study in Australian Energy Market', 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), IEEE, Beijing, China.
View/Download from: Publisher's site

FOR Codes: Pattern Recognition and Data Mining, Application Tools and System Utilities, Knowledge representation and reasoning, Planning and decision making, Information systems, technologies and services not elsewhere classified