Reactive Power Management Based on Improved Bacterial Colony Chemotaxis Algorithm
Qin Sijuan · Power System Technology · 2012
A no-penalty factor strategy model is proposed and reactive power optimization is performed by use of bacterial colony chemotaxis(BCC) algorithm.In the proposed model the possible bacterial proportion is used to guide the bacteria onto the search of possible space or the smallest network loss space.The dynamic adjustment of speed and perception range as well as Gaussian mutation mechanism are led into basic BCC algorithm to improve optimizing accuracy;the mapping factors are led in to improve the performance of BCC algorithm to solve the problem of discrete domain.Case calculation results show that the improved BCC algorithm possesses a better optimizing performance,and combining with the mathematical model of no-penalty strategy a rational reactive power optimization strategy can be obtained rapidly.