Title :
Genetic Algorithms based Optimal Load Shedding with Transient Stability Constraints
Author :
Mosbah, Mustafa ; Hellal, Abdelhafid ; Mohammedi, Ridha Djamel ; Arif, Salem
Author_Institution :
Distrib. Co. SDC, Sonelgaz, Algiers, Algeria
Abstract :
This paper proposes a technique for shedding against voltage collapse (Under Voltage Load Shedding or UVLS) which is based on the optimal power flow procedure OPF with transient stability constraints (Transient Stability Constraints Optimal Power Flow TSC-OPF). To solve this problem we used a meta-heuristic approach to learn the method of Genetic Algorithms. The objective of this method is to get after shedding tensions in the necessary limits to ensure that the electrical network will be in operating point away from the point of voltage collapse. The developed algorithm has been tested on the IEEE 30 bus network model.
Keywords :
IEEE standards; genetic algorithms; load flow; load shedding; power system dynamic stability; power system transient stability; IEEE 30 bus network model; TSC optimal power flow; UVLS; electrical network; genetic algorithms; meta-heuristic approach; optimal load shedding; optimal power flow procedure; transient stability constraints; under voltage load shedding; voltage collapse; Genetic algorithms; Load flow; Optimization; Power system stability; Stability analysis; Transient analysis; load shedding; optimal power flow; stability constraints; under voltage;
Conference_Titel :
Electrical Sciences and Technologies in Maghreb (CISTEM), 2014 International Conference on
DOI :
10.1109/CISTEM.2014.7077021
