Essay Selfhealing Smart Grid

2182 Words May 13th, 2012 9 Pages
SELF HEALING

INTRODUCTION

Smart Grid is sophisticated, digitally enhanced power systems where the use of modern communications and control technologies allows much greater robustness, efficiency and flexibility than today’s power systems.
The American Electric Power Research Institute (EPRI), an advocator of building the smart grid, gave this grid a definition with self-healing, security, integration, collaborative, forecast, optimization and interaction. While European commission define it as : A grid which could support distributed and renewable energy access, supply more reliable and secure electricity, have a service-oriented architecture and flexible grid applications, possess an advanced automation and distributed
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It is now delivered by means of expensive electrical grids on every continent on Earth, and is integral to various satellites that orbit her.
In the decades following this tremendous achievement, however, much of the electrical grid has grown old and outdated. Sadly, Edison would recognize much of the today’s installation. Too often, we find ourselves looking ahead toward the next technological evolution while our infrastructure is more than a century old.
This over exhausted and inefficient electrical grid has left the world susceptible to security threats; inhibited alternative energy/ conservation goals; and contributed to reliability goals such as power quality disturbances and blackouts. Smart grid is the solution we desperately need to solve many global energy problems. It is changing the way we think about and interact with our electrical grid.

Current Status:

Transmission
Today’s transmission grid was designed with many self-healing features. Auto‐reclosing and auto sectionalizing are common techniques employed to maintain service under adverse conditions. The mesh network design of the transmission system is inherently self‐healing due to its built‐in redundancy and such protective relaying features as high‐speed reclosing and single‐phase tripping.
System planners have historically modeled the transmission system to verify that, under a normal system configuration, assumed loads could be met even during expected peak conditions. In addition,

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