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日本語の概要は準備中です。原文の説明を表示しています。
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.
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DC power flow is a linearized approximation of AC power flow, suitable for economic dispatch and contingency analysis.
Result: Power flow depends only on bus angles (θ) and line reactances (X).
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])]
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
At each bus: Pg - Pd = B[i, :] @ θ
Where:
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)
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
loading_pct = abs(flow_MW) / rating_MW * 100
Where rating_MW = branch[5] (RATE_A column).
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)
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)
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概要と使いどころ
Redact text from PDF documents for blind review anonymization
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.
日本語の概要は準備中です。原文の説明を表示しています。
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
日本語の概要は準備中です。原文の説明を表示しています。
Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
日本語の概要は準備中です。原文の説明を表示しています。
Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.
日本語の概要は準備中です。原文の説明を表示しています。