DocumentCode
466180
Title
D-based Predictive Control for Enhancement of Distribution System Stability and Operation
Author
Wang, Lin ; Cheung, Richard
Author_Institution
Ryerson Univ., Toronto, ON
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
6
Abstract
The stability of bulk power electricity systems has been well studied for decades. Conversely the stability study for newly deregulated distribution power systems with dispersed generations from small conventional or alternate energy sources has been virtually limited. Stability concerns, however, increase rapidly with today´s growing demands for open access to power systems for electricity generation and trading, facilitated by new government deregulations. This paper presents a novel generator control based on step-ahead predictive methodology and state-of- the-art real-time digital signal processing (DSP) technology. This DSP-control-based (D-based) Predictive Control is built upon optimization of a specific performance index defined as a weighted combination of generator voltage deviation, mechanical and electrical torques mismatch, incremental generator speed, etc. This paper demonstrates that the D-based Predictive Control can significantly improve the stability and operational coordination of distribution systems particularly those with dispersed generations, open access operations, or weakly connections to bulk power systems.
Keywords
digital signal processing chips; power system management; power system stability; predictive control; D-based predictive control; DSP-control predictive control; digital signal processing; dispersed generations; distribution system operation; distribution system stability; electricity generation; open access; power system stability; Digital signal processing; Distributed power generation; Electricity supply industry deregulation; Government; Performance analysis; Power generation; Power system control; Power system stability; Predictive control; Signal generators; AC generator excitation; adaptive control; power system stability; prediction methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.385548
Filename
4275430
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