DocumentCode :
792526
Title :
Reinforcement scheduling convergence in power systems transmission planning
Author :
Reis, F.S. ; Carvalho, P.M.S. ; Ferreira, L.A.F.M.
Author_Institution :
Planning Div., Rede Electrica Nacional, Sacavem, Portugal
Volume :
20
Issue :
2
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
1151
Lastpage :
1157
Abstract :
The paper presents a new approach to the reinforcement scheduling problem in transmission power systems planning. This problem is typically formulated as a large scale multistage decision under uncertainty problem. We represent uncertainty by load/generation scenarios and propose the use of Gaussian search techniques to solve the scenario deterministic subproblems. The solution of each subproblem is a schedule of reinforcements. As information is different from scenario to scenario, scheduling conflicts may appear at optimal subproblem decisions. We solve these conflicts with a progressive hedging algorithm. Decision convergence on reinforcement scheduling is achieved for the first decision stage by progressively modifying the individual scenario subproblems. We present a rule for modifying scenario subproblems, discuss the algorithms presented, and illustrate their application with an example built over the IEEE 14-bus network.
Keywords :
Gaussian processes; power transmission planning; scheduling; Gaussian search technique; large scale multistage decision; power system transmission planning; progressive hedging algorithm; reinforcement scheduling; Convergence; Electric breakdown; Fuels; Investments; Job shop scheduling; Large-scale systems; Network topology; Power system planning; Power transmission; Uncertainty; Decision convergence; network investment; optimization; power transmission planning; scheduling;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2005.846073
Filename :
1425615
Link To Document :
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