Abstract
Distribution static compensator (DSTATCOM) is a shunt compensation device that is generally used to solve power quality problems in distribution systems. In an all-electric ship power system, power quality issues arise due to high-energy demand loads such as pulse loads. This paper presents the application of a DSTATCOM to improve the power quality in a ship power system during and after pulse loads. The control strategy of the DSTATCOM plays an important role in maintaining the voltage at the point of common coupling. A novel adaptive control strategy for the DSTATCOM based on artificial immune system (AIS) is presented in this paper. The optimal parameters of the controller are first obtained by using the particle swarm optimization algorithm. This provides a sort of innate immunity (robustness) to common system disturbances. For unknown and random system disturbances, the controller parameters are modified online, thus providing adaptive immunity to the control system. The performance of the DSTATCOM and the AIS-based adaptive control strategy is first investigated in MATLAB-/Simulink-based simulation platform. It is verified through a real-time ship power system implementation on a real-time digital simulator and the control algorithm on a digital signal processor.
Recommended Citation
P. Mitra and G. K. Venayagamoorthy, "An Adaptive Control Strategy for DSTATCOM Applications in an Electric Ship Power System," IEEE Transactions on Power Electronics, Institute of Electrical and Electronics Engineers (IEEE), Jan 2010.
The definitive version is available at https://doi.org/10.1109/TPEL.2009.2024152
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
United States. Office of Naval Research
Keywords and Phrases
Adaptive Control; Adaptive Immunity; Artificial Immune System (AIS); Digital Signal Processor (DSP); Distribution Static Compensator (DSTATCOM); Electric Ship Power System; Innate Immunity; Real-Time Digital Simulator (RTDS)
International Standard Serial Number (ISSN)
0885-8993
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2010 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2010