DocumentCode :
3743000
Title :
Distributed optimization decomposition for joint economic dispatch and frequency regulation
Author :
Desmond Cai;Enrique Mallada;Adam Wierman
Author_Institution :
Department of Electrical Engineering, California Institute of Technology, United States of America
fYear :
2015
Firstpage :
15
Lastpage :
22
Abstract :
Economic dispatch and frequency regulation are typically viewed as fundamentally different problems in power systems, and hence are typically studied separately. In this paper, we frame and study a joint problem that optimizes both slow timescale economic dispatch resources and fast timescale frequency regulation resources. We provide sufficient conditions under which the joint problem can be decomposed without loss of optimality into slow and fast timescale problems. These slow and fast timescale problems have appealing interpretations as the economic dispatch and frequency regulation problems respectively. Moreover, the fast timescale problem can be solved using a distributed algorithm that preserves the stability of the network during transients. We also apply this optimal decomposition to propose an efficient market mechanism for economic dispatch that coordinates with frequency regulation.
Keywords :
"Economics","Frequency control","Generators","Power system stability","Production","Optimization","Schedules"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7402081
Filename :
7402081
Link To Document :
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