Apply Lagrangian relaxation to multi-zone congestion management

Author

Wang, Xing ; Song, Y.H.

Author_Institution

Inst. of Power Syst., Brunel Univ., Uxbridge, UK

Volume

2

fYear

2001

fDate

2001

Firstpage

399

Abstract

In order to deal with the emerging multi-zone congestion management problem, a novel Lagrangian relaxation based algorithm for area-decomposition optimal power flow is presented in this paper. By using this method, zonal operators can relieve network congestion coordinatedly and independently without knowing any other zones´ network information but the correspondent Lagrangian multipliers. Two different ways to multi-zone congestion management are also discussed. The IEEE RTS-96 is used as a test system to illustrate the proposed algorithm

Keywords

control system analysis computing; control system synthesis; load flow control; optimal control; power system analysis computing; power system interconnection; power transmission control; IEEE RTS-96 test system; Lagrangian multipliers; Lagrangian relaxation; area-decomposition optimal power flow; computer simulation; control design; control simulation; multi-zone congestion management; power systems; zonal operators; Dispatching; Electricity supply industry; Energy management; Environmental management; Lagrangian functions; Load flow; Power system interconnection; Power system management; Power transmission lines; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Winter Meeting, 2001. IEEE

Conference_Location

Columbus, OH

Print_ISBN

0-7803-6672-7

Type

conf

DOI

10.1109/PESW.2001.916874

Filename

916874