Compensation of Reactive Power Optimization Based On Hybrid Search Algorithm

摘要

Reactive power optimization for the characteristics of the coding scheme of genetic algorithm initial population generation and crossover and mutation to improve all aspects of using the second variation of the field of strategy, a hybrid search algorithm, that is the same time improving genetic algorithms, simulated annealing algorithm and tabu search algorithms combine a new hybrid algorithm, the prerequisite of guaranteeing the quality of the voltage, the proposed optimization model, the use of hybrid search algorithm, to improve the quality of the optimal solution, and through the IEEE33 node system optimization of reactive-power compensation optimization calculation, proved the hybrid search algorithm in reactive compensation optimize configuration of rationality, practicability and validity.