Territory Stories

Statement of Corporate Intent 2022–2023, Territory Generation Power Generation Corporation (Trading as Territory Generation)

Details:

Title

Statement of Corporate Intent 2022–2023, Territory Generation Power Generation Corporation (Trading as Territory Generation)

Other title

Tabled paper 565

Collection

Tabled Papers for 14th Assembly 2020 -; Tabled Papers; ParliamentNT

Date

2022-07-26

Notes

Made available by the Legislative Assembly of the Northern Territory under Standing Order 240. Where copyright subsists with a third party it remains with the original owner and permission may be required to reuse the material.

Language

English

Subject

Tabled papers

Publisher name

Legislative Assembly of the Northern Territory

Place of publication

Darwin

File type

application/pdf

Use

Copyright

Copyright owner

Legislative Assembly of the Northern Territory

License

https://www.legislation.gov.au/Details/C2019C00042

Parent handle

https://hdl.handle.net/10070/874709

Citation address

https://hdl.handle.net/10070/874710

Page content

Page 12 of 18 2022-23 SCI 1 Appendix 1 Financial Projections 1.1 Methodology As in previous years, technical and economic models have been integrated to forecast the financial outcomes for the Corporation over the SCI period. The diagram below summarises the key energy revenue and cost components of the forecast and the related inputs and outputs. During 2021, the Corporation implemented a new energy modelling software, Plexos, to undertake investment analysis and SCI energy and demand modelling. The forecast development methodology is outlined below. The annual forecast energy demand, including the impact of uncontrolled rooftop solar, is determined by region (power system). The required system services levels are estimated, together with known operational constraints likely to be imposed by the system controller. These are overlaid as operating parameters in the Plexos model to estimate the required system security. The generation output of each unit at each station is then determined to meet demand requirements, including the Corporations units, electricity purchased under power purchase agreements (PPAs), and other market participants. The key inputs of this dispatch model are: o the high-level technical characteristics of all generators on the power system, including an estimate of solar output. o power system constraints. o the fuel efficiency and variable operating cost of each unit. o the availability of generators. o the demand forecast.