Computational enhancement of genetic algorithm via control device pre-selection mechanism for power system reactive power/voltage control

In this paper, the application of a novel and computationally enhances genetic algorithm (GA) for solving the reactive power dispatch problem is presented. In order to attain a significant reduction in the computational time of GA, a systematic procedure of reactive power control device pre-selectio...

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Bibliographic Details
Main Authors: Bakare, G.A., Aliyu, U.O., Krost, G., Venayagamoorthy, G.K.
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Genetic algorithms
Optimal control
Power system control
Power system simulation
Power systems
Reactive power
Reactive power control
Shunt (electrical)
Voltage control
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Summary:In this paper, the application of a novel and computationally enhances genetic algorithm (GA) for solving the reactive power dispatch problem is presented. In order to attain a significant reduction in the computational time of GA, a systematic procedure of reactive power control device pre-selection mechanism is herein proposed to choose a-priori subsets of the available control devices, which maximally influence buses experiencing voltage limit violations. The GA reactive power dispatch module then accesses such judiciously pre-selected control device candidates to determine their optimal settings. A pragmatic scheme aimed at further curtailing the number of the final control actions entertained is also set forth. The far-reaching simulation results obtained for two case study scenarios using the proposed algorithmic procedures on a German utility network of Duisburg, replicated on an operator-training simulator, are presented and fully discussed in depth.
DOI:10.1109/PES.2003.1267411