TY - GEN
T1 - Impact of weather dependency on planning decisions in the Australian national electricity market
AU - Ziser, C. J.
AU - Dong, Z. Y.
AU - Sana, T. K.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2006
Y1 - 2006
N2 - A long-term planning method for the electricity market is to simulate market operation into the future. Outputs from market simulation include indicators for transmission augmentation and new generation investment. A key input to market simulations is demand forecasts. For market simulation purposes, regional demand forecasts for each half-hour interval of the forecasting horizon are required, and they must accurately represent realistic demand profiles and interregional demand relationships. In this paper, a demand model is developed to accurately model these relationships. The effects of uncertainty in weather patterns and inherent correlations between regional demands on market simulation results are presented. This work signifies the advantages of probabilistic modeling of demand levels when making market-based planning decisions.
AB - A long-term planning method for the electricity market is to simulate market operation into the future. Outputs from market simulation include indicators for transmission augmentation and new generation investment. A key input to market simulations is demand forecasts. For market simulation purposes, regional demand forecasts for each half-hour interval of the forecasting horizon are required, and they must accurately represent realistic demand profiles and interregional demand relationships. In this paper, a demand model is developed to accurately model these relationships. The effects of uncertainty in weather patterns and inherent correlations between regional demands on market simulation results are presented. This work signifies the advantages of probabilistic modeling of demand levels when making market-based planning decisions.
KW - Power generation planning
KW - Power system planning
KW - Power system simulation
UR - https://www.scopus.com/pages/publications/70350233188
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-70350233188&origin=recordpage
U2 - 10.1049/cp:20062202
DO - 10.1049/cp:20062202
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0863412467
SN - 9780863412462
T3 - IET Conference Publications
BT - 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)
T2 - 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
Y2 - 30 October 2006 through 2 November 2006
ER -