@risk software simulates performance recovery of transmission lines

Simulate performance recovery of transmission lines using @risk software

This article is provided by Palisade Inc., published by China Science Software Network

National Grid - What should we do?

@risk software simulates performance recovery of transmission lines

National Grid - the role of the UK system operator

China's National Power Control Center manages the UK's transmission system, balancing 24/7 of the country's electricity needs.

Facilitate the UK electricity market (generators and suppliers) for a wider range of industry participants.

Optimize economic and operational performance while meeting safety requirements.

A key role that represents the country's efforts to provide safe and reliable electricity.

Transmission network flexibility

The transmission network is designed and operated to meet the safety and quality supply standards.

Provides the ability to withstand trusted failures, interference, and the necessary maintenance flexibility.

The British transmission system has never suffered a catastrophic comprehensive hacking incident.

The October 1987 storm (once in 200 years).

The £5b storm caused nationwide damage, and the power system, despite the impact, prevented a total hacked incident.

Major hacking events in the world

Notable international hacking events since 1965

@risk software simulates performance recovery of transmission lines

UK perceived risk factors

Extreme weather events

Multiple coincidence failures of increasingly complex systems

Rapid changes in the large-scale power industry

Deliberate attack

. Network attacks

Unknown factor

Increased risk of convolution

British approach

Maintain a comprehensive set of plans and measures to deal with a wide range of unforeseen events.

Always cater to the worst credible situation - a comprehensive British hacking accident.

There is no cost-benefit assessment.

Not the most economical, worst, and most regrettable evaluation.

Multiple industry participants

@risk software simulates performance recovery of transmission lines

Electricity transmission in the south of the UK

@risk software simulates performance recovery of transmission lines

Challenge modeling

Capture relevant factors for all major technical, operational, and human recovery steps.

Copy the success rate, duration, and operational complications of each recovery step with probability.

Simultaneously copying the development process of electricity, separating the power supply islands and subsequent connection lines (synchronized).

The process of running multiple iterations to map the entire recovery performance.

Modular model form

Complex details related to a recovery chain developed by a "module".

Duplicate "modules" replicate complex features with specific area attributes.

All "modules" are controlled by a common user interface.

The input and output are kept together.

. Perform high resolution calculations separately.

Model indicator

. Sampling at any point in the year

Any state of existing power generation and transmission equipment

At the same time with up to 18 independent power island chains

. About 100 user-defined parameter inputs

Each model iteration draws approximately 8600 @Risk dice

@risk software simulates performance recovery of transmission lines

@risk software simulates performance recovery of transmission lines

@risk software simulates performance recovery of transmission lines

Iteration of another model – satisfactory results

@risk software simulates performance recovery of transmission lines

How many times does the model iterate?

@risk software simulates performance recovery of transmission lines

Strip useful model output

. Area comparison (first or last connected)

Unable to supply electricity (economic impact)

What are the consequences of unstable generators?

What is the result of increasing the generator?

Generator may burn fuel

What happens if we adjust the plan?

Impact of external variables (network damage, decision making, telecommunications, training, staff level, etc.)

Example - Economic Impact Metrics

@risk software simulates performance recovery of transmission lines

in conclusion

@Risk is more than just a financial instrument

Ideal for large complex modeling

Very efficient tool

For more information on @risk or Decisionstools software, please visit the China Science Software Network.

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