DocumentCode :
728590
Title :
Convexity of structure preserving energy functions in power transmission: Novel results and applications
Author :
Dvijotham, Krishnamurthy ; Chertkov, Michael
Author_Institution :
Dept. of Comput. & Math. Sci., California Inst. of Technol., Pasadena, CA, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
5035
Lastpage :
5042
Abstract :
It is well-known in the power systems literature that the behavior of the transmission power system (under certain simplifying assumptions) can be used to study the post-fault dynamics of a power system and provide principled estimates on dynamic stability margins. In this paper, we study a special feature of the energy function that has previously received little attention: convexity. We prove that the energy function for structure preserving models of power systems is convex under certain reasonable conditions on phases and voltages. Beyond stability analysis, these convexity results have a number of applications, noticeably, building a provably convergent PF solver, which we discuss in detail in this paper. We also outline potential applications to reformulating Optimum Power Flow (OPF), Model Predictive Control (MPC) and identifying the most probable failure (instanton) as convex optimization problems.
Keywords :
convex programming; failure analysis; load flow control; power system dynamic stability; power transmission control; power transmission faults; power transmission reliability; predictive control; MPC; OPF; convergent PF solver; convex optimization problem; dynamic stability margin; model predictive control; optimum power flow; power system post-fault dynamics; power transmission system; structure preserving energy function; Generators; Load modeling; Mathematical model; Power system dynamics; Power system stability; Reactive power; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7172123
Filename :
7172123
Link To Document :
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