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.
G. Krost et al., "Computational Enhancement of Genetic Algorithm Via Control Device Pre-Selection Mechanism for Power System Reactive Power/Voltage Control," Proceedings of the IEEE Power Engineering Society General Meeting, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/PES.2003.1267411
IEEE Power Engineering Society General Meeting, 2003
Electrical and Computer Engineering
Keywords and Phrases
Duisburg; German Utility Network; Control Device Pre-Selection Mechanism; Genetic Algorithm; Genetic Algorithms; Operator-Training Simulator; Power System Control; Power System Reactive Power Control; Reactive Power Control; Reactive Power Dispatch Problem; Varying Fitness Function; Voltage Control
Article - Conference proceedings
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