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Distribution automation application functions in smart grid
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Journal of Electrical & Electronic Systems

ISSN: 2332-0796

Open Access

Distribution automation application functions in smart grid


Global Summit on Electronics and Electrical Engineering

November 03-05, 2015 Valencia, Spain

Jovitha Jerome

PSG College of Technology, India

Posters-Accepted Abstracts: J Electr Electron Syst

Abstract :

Power is universally acknowledged as critically important infrastructure for economic development. Transmission and distribution losses are very high in developing countries. Distribution loss is 60-80% of the total loss. Smart grid technology is a necessary condition for very large amounts of renewable electricity on the grid for this reason. Smart grids are advantageous because of their reliability, flexibility in network topology to handle possible bidirectional energy flows, efficient demand-side management, load adjustment, peak curtailment and systematic communication between suppliers and consumers. Computer aided monitoring, control and management of electric power distribution networks is â??Distribution Automation (DA)â?. Distribution systems are not developing according to a planned program in developing countries, resulting in uneconomical utilization of fund and poor service to customers. The disadvantages are over-loaded feeders, lengthy feeders and poor power factor of load, inefficiency of billing system, poor voltage profile, higher power and energy loss, reduced per capita consumption and loss of revenue. Distribution load flow algorithm developed for distribution proved to be efficient, robust & guarantees convergence. It can handle single phase, three phase, balanced and unbalanced loads. It was found suitable for multi-conductor and multi-feeder with high r/x ratio. The proposed algorithm can be applied to reactive power compensation and network reconfiguration. State estimator, network observability and bad data processor along with fault detector algorithm were robust. It was helpful for optimal ordering of nodes, analyzes system in real-time, estimate current operating state, process measurement data and determines fault type and location.

Biography :

Email: jovithajerome@gmail.com

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