Title :
Probabilistic Modelling of Demand Diversity and its Relationship with Electricity Market Outcomes
Author :
Ziser, Carla J. ; Dong, Zhaoyang ; Saha, Tapan Kumar
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
Abstract :
Part of the planning process in a multi-regional, interconnected electricity market involves electricity market simulation to look for indications of the need for new generation investment. Regional demand forecasts are required on a dispatch-interval basis for the simulation period, and as interregional demand diversity can affect market outcomes, appropriate levels of diversity should be chosen and uncertainty of diversity considered. This paper presents a methodology for probabilistic simulation of demand diversity scenarios, and an analysis of the market benefits associated with demand diversity. In addition, the implications this has for new generation investment indicators is examined.
Keywords :
demand forecasting; power markets; power system interconnection; power system planning; power system simulation; probability; demand diversity scenario; interconnected electricity market; investment indicator; planning process; probabilistic modelling; Australia; Economic forecasting; Electricity supply industry; Investments; Power generation; Power system planning; Power system simulation; Predictive models; Pricing; Weather forecasting; Demand diversity; Power generation planning; Power system planning; Power system simulation;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385774