Title :
Apply Lagrangian relaxation to multi-zone congestion management
Author :
Wang, Xing ; Song, Y.H.
Author_Institution :
Inst. of Power Syst., Brunel Univ., Uxbridge, UK
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;
Conference_Titel :
Power Engineering Society Winter Meeting, 2001. IEEE
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-6672-7
DOI :
10.1109/PESW.2001.916874
