Title :
A new approach for substation expansion planning
Author :
Sepasian, Mohammad Sadegh ; Seifi, Hossein ; Foroud, Asghar Akbari ; Hosseini, Seyyed Hadi ; Kabir, Esmaeil Mohseni
Author_Institution :
Power & Water, Ind. Univ., Tehran, Iran
fDate :
5/1/2006 12:00:00 AM
Abstract :
Substation expansion planning (SEP), as a major module of power system planning modules, is addressed in this paper. For long-term transmission SEP, a new approach based on a genetic algorithm (GA) optimization tool is proposed, in which by defining appropriate objective function and various constraints, new as well as expansion of existing substation requirements are determined. The proposed algorithm is successfully tested for the Iranian Power Grid in 2011.
Keywords :
genetic algorithms; power grids; power transmission planning; substations; Iranian Power Grid; genetic algorithm optimization tool; long-term transmission; power system planning modules; substation expansion planning; Constraint optimization; Cost function; Dynamic programming; Genetic algorithms; Heuristic algorithms; Linear programming; Power grids; Power system planning; Power systems; Substations; Genetic algorithm (GA); optimization; power system planning; substation expansion planning (SEP);
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2006.873406
