DocumentCode
84902
Title
Coordination Strategy for Decentralized Reactive Power Optimization Based on a Probing Mechanism
Author
Qifeng Li ; Liuqing Yang ; Shunjiang Lin
Author_Institution
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
Volume
30
Issue
2
fYear
2015
fDate
Mar-15
Firstpage
555
Lastpage
562
Abstract
Information framework of optimal reactive power dispatch (ORPD) and the essential characteristics of coordinated reactive power optimization (RPO) in multi-area large-scale power systems are introduced in this paper. We consider that the change of optimal solutions (control settings) cannot be captured by simply using an equality constraint of the boundary values as which the voltages at boundary buses and power flows in tie lines are referred to. While many previous methods were proposed by using change of the boundary values to evaluate the change of optimal solutions, which might lead to failure in convergence, this paper puts forward a coordination strategy according to the correspondence between optimal solutions and boundary values based on a probing mechanism. This method is applied to a 472-bus power system; the simulation results show that the RPO scheme based on this strategy has strong convergence capability and high efficiency. Moreover, the proposed coordination strategy allows the transmission system operators (TSOs) to choose objective function and optimization algorithm independently.
Keywords
load flow; optimisation; power transmission; reactive power; 472-bus power system; ORPD; TSO; boundary bus; boundary values; coordinated RPO; coordinated reactive power optimization; coordination strategy; decentralized reactive power optimization; equality constraint; information framework; multiarea large-scale power systems; optimal reactive power dispatch; power flows; probing mechanism; tie lines; transmission system operators; Convergence; Equations; Linear programming; Mathematical model; Optimization; Reactive power; Coordinated; decentralized; probing mechanism; reactive power optimization;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2331361
Filename
6850092
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