operations-planning-mitigation

Name: operations-planning-mitigation
Author: Power-Agent

56stars12forks

How to install operations-planning-mitigation?

power-agent/powerskills/operations-planning-mitigation

$npx -y skills add Power-Agent/PowerSkills --skill operations-planning-mitigation

Installs into the current project.

Summary

Senior power-engineer playbook for planning and operations optimization problems. Use whenever Egret or PyPSA studies are infeasible, reserve-deficient, congested, too expensive, or heavily curtailed — including escalations from a tool skill's OPF, unit-commitment, or expansion r

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SKILL.md

1	# Operations and planning mitigation
2
3	Start with the failed or unsatisfactory optimization result and the constraint set that caused it.
4
5	## Preferred action order
6	1. Fix data quality first: ramps, minimum output, up or down times, reserve requirements, network limits, and time-series assumptions.
7	2. Solve a simpler screening case before a larger one: DC before AC, dispatch before unit commitment, operations before expansion.
8	3. Add flexibility: storage, demand response, fast-start units, or revised reserve products.
9	4. Relieve congestion with topology, transmission expansion, or better siting.
10	5. Relax constraints or add slack variables only with explicit penalties and a clear explanation.
11
12	## Working rules
13	- Do not call a system infeasible before checking data consistency.
14	- Separate economic congestion from physical AC infeasibility.
15	- Validate promising fixes in an AC tool when voltage or reactive limits matter.
16
17	## Deliver
18	- The main binding constraints or infeasibility cause.
19	- The best near-term operational fix.
20	- The longer-term planning measure if the issue persists.

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operations-planning-mitigation

56stars12forks

View on GitHub

How to install operations-planning-mitigation?

power-agent/powerskills/operations-planning-mitigation

$npx -y skills add Power-Agent/PowerSkills --skill operations-planning-mitigation

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Operations and planning mitigation
2
3	Start with the failed or unsatisfactory optimization result and the constraint set that caused it.
4
5	## Preferred action order
6	1. Fix data quality first: ramps, minimum output, up or down times, reserve requirements, network limits, and time-series assumptions.
7	2. Solve a simpler screening case before a larger one: DC before AC, dispatch before unit commitment, operations before expansion.
8	3. Add flexibility: storage, demand response, fast-start units, or revised reserve products.
9	4. Relieve congestion with topology, transmission expansion, or better siting.
10	5. Relax constraints or add slack variables only with explicit penalties and a clear explanation.
11
12	## Working rules
13	- Do not call a system infeasible before checking data consistency.
14	- Separate economic congestion from physical AC infeasibility.
15	- Validate promising fixes in an AC tool when voltage or reactive limits matter.
16
17	## Deliver
18	- The main binding constraints or infeasibility cause.
19	- The best near-term operational fix.
20	- The longer-term planning measure if the issue persists.

People who liked this also viewed

6 picks

Type