DocumentCode :
1426612
Title :
Optimal Control of Voltage and Power in a Multi-Zonal MVDC Shipboard Power System
Author :
Kankanala, Padmavathy ; Srivastava, Suresh C. ; Srivastava, Anurag K. ; Schulz, Noel N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Volume :
27
Issue :
2
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
642
Lastpage :
650
Abstract :
The Multi-Zonal Medium Voltage DC (MVDC) Shipboard Power System (SPS) architecture, proposed by the U.S. Navy for their future combatant system, consists of several voltage source converters (VSCs). The proposed architecture is tightly-coupled, power-limited and its performance needs to be evaluated for security, reliability, and survivability. Following system damage or a fault, the current flow pattern in the DC network may change, which may result in the failure of VSCs due to overvoltage developed across them in certain operating conditions. For a given MVDC system, DC voltage reference setting for one of the VSCs operating in the voltage regulator mode, and the optimal power reference settings of the remaining VSCs in the power dispatcher mode have to be pre-determined. These settings and control modes of VSCs are needed to maintain the DC voltage within desired margins (usually 5% around the nominal DC voltage), both in “pre-fault” and “post-fault outage” conditions. The problem has been formulated as an optimization problem with three different objective functions. Computational intelligence techniques have been applied for solving the optimization problem. These include the genetic algorithm (GA) and biogeography based optimization (BBO) methods. The results have been compared with a conventional Lagrange multiplier based method.
Keywords :
genetic algorithms; marine power systems; military vehicles; naval engineering; optimal control; power control; power convertors; power system control; power system faults; power system reliability; power system security; voltage control; DC network; Lagrange multiplier based method; biogeography based optimization method; computational intelligence techniques; current flow pattern; genetic algorithm; multizonal MVDC shipboard power system; multizonal medium voltage DC shipboard power system; optimal control; optimization problem; postfault outage condition; power control; power dispatcher mode; power system reliability; power system security; power system survivability; prefault outage condition; voltage control; voltage source converter; Genetic algorithms; Optimization; Power conversion; Power systems; Regulators; Voltage control; Biogeography based optimization (BBO); MVDC power system; genetic algorithm (GA); optimization; shipboard power system; voltage sensitivity based method; voltage-source converter;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2011.2178274
Filename :
6135527
Link To Document :
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