Contingency Assessment of Radial Distribution System

Abstract

The complexity of the distribution systems has increased many folds due to its vast expansion and hence it has become prone to faults which eventually aspects the continuity of supply and increase the network losses. The impact of outages due to any failure or overloads of network components in the distribution system can be reduced by the recon- figuration of network and embedding sizable distribution generation at optimal locations. In the scenario of deregulation, net present value analysis of the system is quite signifi cant for decision making. In this study, contingencies are solved by finding out the best switching sequence of fixed number of tie lines and sectionalizers for the reconfiguration of system with an objective to improve the operating conditions. Further, genetic algorithm (GA) has been used to find the optimal location and size of embedded distribution generation in order to improve voltage pro le and to reduce losses for given load demand. The proposed study of reconfiguration and distributed generation has been implemented on loaded IEEE 33 and IEEE 69 bus radial distribution systems for simulations to study the impact of different contingencies. The simulation results obtained are satisfactory. The results suggest that investment is distribution generation is attractive when recon- figuration is used to minimize load curtailment.