Smart Distribution System by Using Binary Particle Swarm Optimization

Abstract

The electric Distribution System is subject to many disturbance which results power outage and material damage, and also due to its network topology power delivery to the customer is accompanied with the cost of power loss. Whenever reliability, power loss and resilience is an issue the distribution system must be designed to self healing. The power coming from the transmission line can be effectively distributed by managing automatically it’s network configuration. This paper explores effective loss minimization for efficient smart electrical distribution power flow. The load on the distribution system is a continuously changing entity and hence a configuration which corresponds to a minimum loss at a particular load will not be so at a different load. Feeder reconfiguration is one of the techniques for loss minimization in a nonlinear network optimization problem which restructures the distribution feeders by changing the open/closed status of the sectionalizing and tie switches. and the solution for the problem involves a search over the possible configurations with multiple constraints. Binary particle swarm optimization method was applied to find the possible switching-options for loss reduction. Since distribution system is radial configuration backward forward load flow analysis is used. The algorithm is computationally efficient and determines the switching option that gives the maximum loss reduction in the system. For testing the effeteness of the method standard IEEE 33 bus system is used. The proposed algorithm is coded in MATLAB and power world simulator, to check the result obtained by MATLAB. The optimal configuration result shows that large amount of power loss was reduced from the initial configuration.