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Fix dead links to powsybl.org documentation (#158)
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Signed-off-by: Coline PILOQUET <[email protected]>
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colinepiloquet authored Sep 11, 2024
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3 changes: 2 additions & 1 deletion docs/conf.py
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todo_include_todos = True

# Links to external documentations : python 3 and pandas
# Links to external documentations
intersphinx_mapping = {
'python': ('https://docs.python.org/3', None),
'pandas': ('https://pandas.pydata.org/docs', None),
'powsyblcore': ('https://powsybl.readthedocs.io/projects/powsybl-core/en/latest/', None),
}

# Generate one file per method
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2 changes: 1 addition & 1 deletion docs/flow_decomposition/algorithm-description.md
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In order to assess the linear impact (implied by the DC approximation) of each nodal injection and phase shift transformer
on the network elements' flow, a sensitivity analysis is run.

The following matrices are calculated using [sensitivity analysis](https://www.powsybl.org/pages/documentation/simulation/sensitivity/) API:
The following matrices are calculated using [sensitivity analysis](inv:powsyblcore:std:doc#simulation/sensitivity/index) API:
- $\mathrm{PTDF}$ is the matrix of the sensitivity of the network element flow to each network injection shift,
- $\mathrm{PSDF}$ is the matrix of the sensitivity of the network element flow to each phase shift transformer tap angle change,

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2 changes: 1 addition & 1 deletion docs/flow_decomposition/configuration.md
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Any implementation of load flow provider and sensitivity analysis provider can be used, as the entire algorithm only
relies on common loadflow API and sensitivity analysis API.

Thus, flow decomposition algorithm relies on [load flow parameters](https://www.powsybl.org/pages/documentation/simulation/powerflow/) and [sensitivity analysis parameters](https://www.powsybl.org/pages/documentation/simulation/sensitivity/).
Thus, flow decomposition algorithm relies on [load flow parameters](inv:powsyblcore:*:*#loadflow-generic-parameters) and [sensitivity analysis parameters](inv:powsyblcore:*:*#sensitivity-generic-parameter).
2 changes: 1 addition & 1 deletion docs/flow_decomposition/flow-decomposition-inputs.md
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## Network

The first input of the flow decomposition algorithm is a network. As this simulation uses [power flow](https://www.powsybl.org/pages/documentation/simulation/powerflow/)
The first input of the flow decomposition algorithm is a network. As this simulation uses [power flow](inv:powsyblcore:std:doc#simulation/loadflow/index)
simulations for losses compensation, this network should converge.

Any available source can be used as a valid input for flow decomposition (including UCTE, CGMES, XIIDM).
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