Transmission Network Expansion Planning Considering Uncertainty in Demand

Author

Silva, Id.J. ; Rider, Marcos J. ; Romero, Rubén ; Murari, Carlos A F

Author_Institution

Dept. of Electr. Energy Syst., State Univ. of Campinas

Volume

21

Issue

4

fYear

2006

Firstpage

1565

Lastpage

1573

Abstract

This paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a whole; then, this model considers the uncertainty in the total demand of the power system. The second one analyzed the uncertainty in each load bus individually. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The models presented are solved using a specialized genetic algorithm. The results obtained for several known systems from literature show that cheaper plans can be found satisfying the uncertainty in demand

Keywords

genetic algorithms; mathematical analysis; power transmission planning; genetic algorithm; load bus uncertainty; mathematical models; transmission network expansion planning; Genetic algorithms; Intelligent networks; Mathematical model; Power system analysis computing; Power system modeling; Power system planning; Power transmission lines; Process planning; Proposals; Uncertainty; Direct current (dc) model; genetic algorithm; long-term transmission network expansion planning; uncertainty in demand;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2006.881159

Filename

1717557