Smart Power Grid Monitoring System

Challenge Summary

A smart monitoring system for grid and overhead electrical power transmission lines to analyse potential damages to the power lines and predict possible failure points and suggest preventive measures to avoid unplanned power outage and large production loss.

Challenge Scenario

Oil refineries extensively use electrical power equipment for various processes involved in oil production of different types and grades. The industry requires constant supply of power to work efficiently and produce necessary output. Power disruptions cause damage to equipment, losses in oil production (384 kbopd over a period of 24 months), the major causes for such power disruptions on the grid lines (220KV) and overhead lines(33KV) are severe weather conditions, faults in protection systems, component failure, poor quality of power and electrical equipment malfunctions. These power disruptions occur on the 220KV grid line at a frequency of 72 days and the 33KV overhead line at a frequency of 70 to 180 days. A system to monitor the possible damage to the grid lines and overhead lines and suggest suitable preventive measures to reduce power outage and production loss is required.

Profile of the End-User

Power supply maintenance crew

Existing method : corrective actions such as replacement of insulators, components, rectification and study of substations protective systems, installation of bird guards are in place.

Gaps these actions are taken only after an event of power disruption has taken place which leads to unplanned power disruptions, equipment failure and production loss.

Functional Requirements of the End-User

  • To identify damages to electrical power lines
  • Analyse root cause of damage
  • predict possible points of failure in the system
  • Alert to the engineers

Functional & Operational Capabilities

  • Constant monitoring of the electrical power lines.
  • Identify the type of damage and location of damage in the power line.
  • Predictive / patrolling model for points of failure in future operations.
  • Alerts to engineers on immediate action required.
  • Suggest maintenance schedule based on real time data acquired

Operational constraints

  • Suggest maintenance schedule based on real time data acquired
  • Different types of power transmission lines - 220KV grid line and 33KV overhead line
  • High voltage lines
  • Data transmission infrastructure

Expected Tangible Benefits and Measurable Gains

  • Real time monitoring and assessment of damage to power lines.
  • Scheduling planned power cuts to reduce damage to equipments.
  • Prevent losses in oil production occurring due to power disruptions.
  • Cost and time saved on repair of power lines.

Performance Metrics or Outcomes

  • Maximum Time Between Failures for 220 KV line
  • Maximum Time Between Failures for 33KV line