4.3 (TNSP) MD – spatial – weather Transend stated historical weather corrected 10% and 50% PoE data for connection points Consistent with the economic benchmarking RIN, the final RINs now correction for are not available. It can derive this data for each connection point, but with a considerable require NSPs to provide historical weather corrected demand only connection points amount of effort. Transend recommended the AER reconsider the need for this data where it has calculated such figures. (attachment). Powerlink stated it has around 100 individual customer load connection points. Powerlink considers it would be excessively onerous to require weather correction for demand at each connection point. This includes data going forward as well as historically (appendix, p. 3). ElectraNet stated it does not maintain historic temperature corrected data and is not aware of an applicable normalisation methodology (attachment). 5.4 (DNSP) MD – spatial – SAPN stated SCADA on HV feeders and some zone substations is typically measured in TNSPs/DNSPs are required to provide, using best endeavours, providing different MD Amps. It will need to make assumptions on the power factor to provide the information estimates of maximum demand information where they do not keep 4.3 (TNSP) measures requested (p. 11). and maintain particular information requested in the final RIN templates, for example, by applying a power factor conversion as an Transend stated it does not produce MVA forecasts for connection points but derive it approximation based on best engineering estimates. based on assumptions about future power factors. It can provide MVA values at (each connection point) based on estimated power factors (attachment). ElectraNet stated it does not currently record transmission system non-coincident demand on an MVA basis, but can provide on an MW basis. The MVA reporting requirement will require changes to its reporting systems. ElectraNet can assume a power factor but no audit assurance would apply. Extensive analysis is expected to be required to provide this information at the connection point level (attachment).
4.3 (TNSP) MD – spatial – weather correction for connection points Transend stated historical weather corrected 10% and 50% PoE data for connection points are not available. It can derive this data for each connection point, but with a considerable amount of effort. Transend recommended the AER reconsider the need for this data (attachment). Powerlink stated it has around 100 individual customer load connection points. Powerlink considers it would be excessively onerous to require weather correction for demand at each connection point. This includes data going forward as well as historically (appendix, p. 3). ElectraNet stated it does not maintain historic temperature corrected data and is not aware of an applicable normalisation methodology (attachment). Consistent with the economic benchmarking RIN, the final RINs now require NSPs to provide historical weather corrected demand only where it has calculated such figures. 5.4 (DNSP) 4.3 (TNSP) MD – spatial – providing different MD measures SAPN stated SCADA on HV feeders and some zone substations is typically measured in Amps. It will need to make assumptions on the power factor to provide the information requested (p. 11). Transend stated it does not produce MVA forecasts for connection points but derive it based on assumptions about future power factors. It can provide MVA values at (each connection point) based on estimated power factors (attachment). ElectraNet stated it does not currently record transmission system non-coincident demand on an MVA basis, but can provide on an MW basis. The MVA reporting requirement will require changes to its reporting systems. ElectraNet can assume a power factor but no audit assurance would apply. Extensive analysis is expected to be required to provide this information at the connection point level (attachment). TNSPs/DNSPs are required to provide, using best endeavours, estimates of maximum demand information where they do not keep and maintain particular information requested in the final RIN templates, for example, by applying a power factor conversion as an approximation based on best engineering estimates.
AER%20explanatory%20statement%20-%20final%20category%20analysis%20RINs.DOCX