ifference between revisions of "EMO:System Purpose"
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Using detailed Market and Transmission System data from recognised sources, ''EMarketOffer'' accurately reproduces market conditions for specified historical periods, allowing effective analysis of transmission effects and competitive behaviour. Fast and flexible operation allows multiple 'what-if' cases for both real and illustrative situations to be constructed, executed, analysed and modified freeing the analyst from time-consuming case construction and analysis of large output data sets. | Using detailed Market and Transmission System data from recognised sources, ''EMarketOffer'' accurately reproduces market conditions for specified historical periods, allowing effective analysis of transmission effects and competitive behaviour. Fast and flexible operation allows multiple 'what-if' cases for both real and illustrative situations to be constructed, executed, analysed and modified freeing the analyst from time-consuming case construction and analysis of large output data sets. | ||
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| + | [[EMO:EMarketOffer User Manual|Home]] - [[EMO:System Overview|Back]] | ||
Revision as of 08:37, 18 December 2012
EMarketOffer simulates the SPD Market clearance engine used in the New Zealand wholesale electricity Market and conducts powerflow analysis for a defined Transmission System network using given nodal generation and demand.
It is intended for use by:
- Network analysts to study the effects of system operation events;
- Business analysts to study competitive offering strategies and the future implications of altered Generation and Demand patterns.
Using detailed Market and Transmission System data from recognised sources, EMarketOffer accurately reproduces market conditions for specified historical periods, allowing effective analysis of transmission effects and competitive behaviour. Fast and flexible operation allows multiple 'what-if' cases for both real and illustrative situations to be constructed, executed, analysed and modified freeing the analyst from time-consuming case construction and analysis of large output data sets.