Optimal reconfiguration and capacitor placement are used to reduce power losses and keep the voltage within its allowable interval in power distribution systems considering voltage, current, and radial condition constraints. An effective optimization algorithm using ‘‘Modified bacterial foraging optimization algorithm" (MBFOA) is designed. The MBFOA has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. The design is framed as a non-linear combinatorial optimization problem and status of switches is non-differentiable which is solved using a modified bacterial foraging algorithm, the algorithm is modified for better convergence. The effectiveness of the proposed MBFOA has been tested on five different distribution network systems i.e 16, 33,69,118 and 119 IEEE Bus IEEE systems to find the optimum configuration of the network with regard to power losses. Five different cases are considered as mentioned below, and the effectiveness of the proposed technique is also demonstrated with improvements in power loss reduction, through MATLAB under steady-state conditions.
- Generate initial population.
- Initialize elimination and dispersal loop.
- Reproduction, chemotactic loop increase.
- Find fitness value for new bacterium for case1 to case5.
- Check the condition based on a number of iterations, if condition satisfies stop process else repeat above all steps.
- Finally, get the best solution.
PREVIOUS PAGE|NEXT PAGE |