DocumentCode :
1795634
Title :
Optimal payment sharing mechanism for renewable energy aggregation
Author :
Harirchi, Farshad ; Vincent, Tracey ; Dejun Yang
Author_Institution :
Colorado Sch. of Mines, Golden, CO, USA
fYear :
2014
fDate :
3-6 Nov. 2014
Firstpage :
608
Lastpage :
613
Abstract :
Renewable energy aggregation has been introduced as a solution to reduce the uncertainty of this type of sources. In this work we propose a new mechanism to share the profit of the aggregate amongst individual producers. Calculating optimal contract for individual producers and the aggregate is the first requirement in order to propose a payment sharing mechanism that has been addressed in the literature. Different researchers utilized various methods from coalitional game theory to statistical methods to introduce payment sharing mechanisms. In this work we propose a novel payment sharing mechanism that maximizes the aggregate profit in first place. The payments to the individuals are based on their actual production instead of the expected. We also show that this method will pay more to the individuals in average compared to previous methods.
Keywords :
contracts; game theory; optimisation; power generation economics; renewable energy sources; statistical analysis; wind power plants; coalitional game theory; optimal contract; payment sharing mechanism; renewable energy aggregation; statistical methods; Aggregates; Contracts; Games; Production; Renewable energy sources; Smart grids; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
Conference_Location :
Venice
Type :
conf
DOI :
10.1109/SmartGridComm.2014.7007714
Filename :
7007714
Link To Document :
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