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dc-power-flow

DC power flow analysis for power systems

Install / Use

npx skills add benchflow-ai/skillsbench --skill dc-power-flow

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Zed

Tags

Our assessment of dc-power-flow

dc-power-flow scores 83/100 on our quality scale, 32nd of 62 Project & Program Management skills we index.

Its SKILL.md is 2.8 KB long, well organised into 15 sections with 7 code examples: a solid amount of guidance for an agent.

With 1,813 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
8/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so dc-power-flow is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

dc-power-flow compared with similar skills

All 4 of these similar skills score higher than dc-power-flow; compare them before choosing.

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dc-power-flow (this skill)by benchflow-ai831.8k2mo agoSKILL.md
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Frequently asked questions

How do I install dc-power-flow?
Run npx skills add benchflow-ai/skillsbench --skill dc-power-flow. The install tabs above show the steps for each supported agent.
Which AI agents does dc-power-flow work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is dc-power-flow safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is dc-power-flow still maintained?
The repository was last updated about 2 months ago, so dc-power-flow is actively maintained.

name: dc-power-flow description: "DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks."

DC Power Flow

DC power flow is a linearized approximation of AC power flow, suitable for economic dispatch and contingency analysis.

DC Approximations

  1. Lossless lines - Ignore resistance (R ≈ 0)
  2. Flat voltage - All bus voltages = 1.0 pu
  3. Small angles - sin(θ) ≈ θ, cos(θ) ≈ 1

Result: Power flow depends only on bus angles (θ) and line reactances (X).

Bus Number Mapping

Power system bus numbers may not be contiguous (e.g., case300 has non-sequential bus IDs). Always create a mapping from bus numbers to 0-indexed array positions:

# Create mapping: bus_number -> 0-indexed position
bus_num_to_idx = {int(buses[i, 0]): i for i in range(n_bus)}

# Use mapping for branch endpoints
f = bus_num_to_idx[int(br[0])]  # NOT br[0] - 1
t = bus_num_to_idx[int(br[1])]

Susceptance Matrix (B)

Build from branch reactances using bus number mapping:

# Run: scripts/build_b_matrix.py
# Or inline:
bus_num_to_idx = {int(buses[i, 0]): i for i in range(n_bus)}
B = np.zeros((n_bus, n_bus))

for br in branches:
    f = bus_num_to_idx[int(br[0])]  # Map bus number to index
    t = bus_num_to_idx[int(br[1])]
    x = br[3]  # Reactance
    if x != 0:
        b = 1.0 / x
        B[f, f] += b
        B[t, t] += b
        B[f, t] -= b
        B[t, f] -= b

Power Balance Equation

At each bus: Pg - Pd = B[i, :] @ θ

Where:

  • Pg = generation at bus (pu)
  • Pd = load at bus (pu)
  • θ = vector of bus angles (radians)

Slack Bus

One bus must have θ = 0 as reference. Find slack bus (type=3):

slack_idx = None
for i in range(n_bus):
    if buses[i, 1] == 3:
        slack_idx = i
        break
constraints.append(theta[slack_idx] == 0)

Line Flow Calculation

Flow on branch from bus f to bus t (use bus number mapping):

f = bus_num_to_idx[int(br[0])]
t = bus_num_to_idx[int(br[1])]
b = 1.0 / br[3]  # Susceptance = 1/X
flow_pu = b * (theta[f] - theta[t])
flow_MW = flow_pu * baseMVA

Line Loading Percentage

loading_pct = abs(flow_MW) / rating_MW * 100

Where rating_MW = branch[5] (RATE_A column).

Branch Susceptances for Constraints

Store susceptances when building constraints:

branch_susceptances = []
for br in branches:
    x = br[3]
    b = 1.0 / x if x != 0 else 0
    branch_susceptances.append(b)

Line Flow Limits (for OPF)

Enforce thermal limits as linear constraints:

# |flow| <= rating  →  -rating <= flow <= rating
flow = b * (theta[f] - theta[t]) * baseMVA
constraints.append(flow <= rate)
constraints.append(flow >= -rate)

Related Skills

View on GitHub
GitHub Stars1.8k
CategoryProject
Updated2mo ago
Forks368

Languages

PDDL

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions