Adaptive Protection Scheme in Distribution Generation Environment

Abstract

There is a need to increase the distributed generation (DGs) penetration into the distribution network to meet the increasing energy consumption. Line/Power losses and voltage profile maintenance are the most significant restrictions of the existing power system. Random DGs penetration also causes many problems in the distribution system like system islanding, relay tripping, reverse power flow, etc. To avoid such issues, to reduce power losses and to enhance voltage profile penetration of optimal sized distributed generations at optimal locations in the distribution network is required. The modelling of distribution generation environment having DGs penetration in a distribution network will be done with the help of MATLAB software. These distribution networks will be the IEEE 33 bus and IEEE 69 bus radial distribution networks. Impact of different kinds of DGs penetration will test on the IEEE 33 bus radial distribution network for selecting the best DGs w.r.t the power loss reduction and voltage profile enhancement of the radial distribution network. These DGs will be tested in IEEE 33 bus radial distribution network for optimal size and optimal location. Adaptive schemes based on adaptive neuro-fuzzy inference system, biogeography based optimization and particle swarm optimization techniques will do this optimal sizing and penetration of DGs. The adaptive schemes will model in MATLAB software. The adaptive schemes for optimal sizing and penetration of DGs will test on the IEEE 69 bus radial distribution network for minimizing the power loss, enhancing the voltage profile and fitness rate. newline