Adaptive Ant Colony Algorithm based Global Optimization Control of Voltage/Reactive Power in the Substation

This paper presents a voltage/reactive power global optimization control method in the substation by adaptive ant colony algorithm. It can dynamically adjust pheromone updating strategy and probability of paths selection according to the distribution uniformity of solutions in the optimal process. This method, comprehensively considering the voltage of low-voltage side, the reactive at high-voltage side and the constraint of action numbers of capacitors and transformer taps in one day, makes the control strategy used assure that the voltage, reactive and adjusting times of transformer taps and capacitors can achieve their integrated optimality. Take the practical triple-wound substation for instance, the result of simulating it proves the effectiveness of the method which is presented in this paper, and achieves the desired effect.