Abstract :
In the three-phase power supply system, the power factor and unbalanced three-phase power supply can affect the quality of important factors, but the existing compensation is difficult in the reactive power compensation with changing the original three-phase unbalanced load into three-phase symmetrical load of the power supply system. Thus, in the case of three-phase imbalance, this paper proposes an intelligent algorithm, firstly, based on prediction of the improved artificial neural network, the predicting parameters of the compensation can be obtained. Secondly, using the particle swarm optimization (PSO) algorithm to seeking for compensated reactance value of global optimization, optimal switching value can be found. Finally, after obtaining the optimal value of integrated control, the power should be gotten Adjustment, in order to controlling the power of comprehensive compensation purposes. The results show that under the case serious imbalance in the three-phase case, we should some factors(including the reactive power, voltage ,and so on) should be considered in the phase of looking for the optimized reactance values to improving the system´s power factor, reducing system losses and other issues.
Keywords :
neural nets; particle swarm optimisation; power control; power distribution control; power engineering computing; power factor; power supply quality; PSO algorithm; artificial neural network; compensated reactance value; distribution network; global optimization; integrated control; intelligent algorithm-based reactive power compensation; optimal switching value; particle swarm optimization; power control; power factor; system loss reduction; three-phase imbalance; three-phase power supply system; three-phase symmetrical load; unbalanced three-phase power supply; Algorithm design and analysis; Artificial neural networks; Power quality; Prediction algorithms; Reactive power;
