DocumentCode
1632722
Title
Generation cost and system risk trade-off with corrective power flow control
Author
Hug, Gabriela
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2012
Firstpage
1324
Lastpage
1331
Abstract
Increased penetration of renewable generation and the liberalization of electricity markets result in increasingly varying power flows in the electric power system. This has led to increased occurrences of congestions which are mostly resolved by dispatching generation in an economically suboptimal way. In this paper, we use power flow control to render the system more flexible by providing the capability of rerouting power to lines where sufficient capacity is available. The objective is to minimize a combination of generation cost and a risk-based security index as opposed to formulating a traditional security constrained economic dispatch. In addition, corrective actions by the power flow control devices are used to allow for a less conservative generation dispatch resulting in reduced generation costs while maintaining system security in case of a contingency. Simulation results provide insights into the benefits provided by corrective power flow control in such a trade-off between generation cost and system risk.
Keywords
load flow control; power generation control; power generation dispatch; power markets; conservative generation dispatch; corrective power flow control; economically suboptimal way; electric power system; electricity markets; generation cost; renewable generation; rerouting power; risk-based security index; security constrained economic dispatch; system risk trade-off; system security; Economics; Generators; Optimization; Power transmission lines; Reliability; Security; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4673-4537-8
Type
conf
DOI
10.1109/Allerton.2012.6483371
Filename
6483371
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