Research On Reactive Power Optimal Arithmetic In Power System Based On Bacterial Colony Chemotaxis

Reactive power optimization in power system plays an important role in improving the voltage quality and stability, and reducing the loss of the power system, so research for the reactive optimization algorithm is important. This paper uses bacterial colony chemotaxis (BCC) optimization algorithm to solve reactive power problem in electric power system. The modeling of reactive power optimization is established based on minimum network losses. Reference axes are three bacterial values, generator voltage, transformer tap and capacitor tank, respectively. All of bacterial values for every space position forms initial matrix in reactive power optimal modeling. Bacterium finds its foraging way for whole search ability by bacteria's searching strategy rule. Convergence speed is improved by optimal initialized parameter. This method applies to the IEEE-30, IEEE-118-bus system, and the result is acceptable. Compared with IMGA and CPSO optimal method, the simplicity and robustness of the process of bacterial colony chemotaxis suggest a research direction which is worth to move on and possesses the excellent the value in theory and practice.