A Review of Load Flow and Network Reconfiguration techniques with their enhancement for Radial Distribution Network

Load flow analysis of electrical distribution networks either for providing household electricity or in integrated circuits has always been a topic of great interest for researchers from last few decades. Various novel methods and techniques have been proposed for load flow calculations in the network and simulation tools are being used to determine the various characteristics of the network. The paper mainly focusses on these techniques at a single site and the enhancements made to the already existing techniques throughout the use of GPU architecture using CUDA platform in lieu of enhancing the performance of already existing solution with respect to time and algorithmic complexity. The paper also explains the need of enhancing prevailing solutions for load flow analysis for future generation smart grids or real time systems by comparing the performance with serial version for different topologies of network. Further the paper also throws light on some of the network reconfiguration techniques used to remodel the RDN due to high power losses in the network and floats an idea how parallel processing can be beneficial in enhancing already existing genetic algorithm based network reconfiguration technique to support real time load flow calculations and topology construction in smart grids and future generation systems.