Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

modified PTDF functions for Dense method #58

Merged
merged 2 commits into from
Sep 21, 2023
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion Project.toml
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
name = "PowerNetworkMatrices"
uuid = "bed98974-b02a-5e2f-9fe0-a103f5c450dd"
authors = ["Jose Daniel Lara", "Alessandro Castelli", "Sourabh Dalvi"]
authors = ["Jose Daniel Lara", "Alessandro Francesco Castelli", "Sourabh Dalvi"]
version = "0.9.3"

[deps]
Expand Down
42 changes: 8 additions & 34 deletions src/ptdf_calculations.jl
Original file line number Diff line number Diff line change
Expand Up @@ -172,19 +172,6 @@ function calculate_PTDF_matrix_KLU(
return PTDFm, A
end

function _binfo_check(binfo::Int)
if binfo != 0
if binfo < 0
error("Illegal Argument in Inputs")
elseif binfo > 0
error("Singular value in factorization. Possibly there is an islanded bus")
else
@assert false
end
end
return
end

"""
Funciton for internal use only.

Expand All @@ -201,40 +188,27 @@ Computes the PTDF matrix by means of the LAPACK and BLAS functions for dense mat
vector containing the weights for the distributed slacks.
"""
function _calculate_PTDF_matrix_DENSE(
A::Matrix{Int8},
BA::Matrix{T},
A::SparseArrays.SparseMatrixCSC{Int8, Int},
BA::SparseArrays.SparseMatrixCSC{Float64, Int},
ref_bus_positions::Set{Int},
dist_slack::Vector{Float64}) where {T <: Union{Float32, Float64}}
dist_slack::Vector{Float64})
linecount = size(BA, 2)
buscount = size(BA, 1)
# Use dense calculation of ABA
valid_ixs = setdiff(1:buscount, ref_bus_positions)
ABA = transpose(A[:, valid_ixs]) * transpose(BA[valid_ixs, :])
# get LU factorization matrices
(ABA, bipiv, binfo) = getrf!(ABA)
_binfo_check(binfo)
ABA = Matrix(calculate_ABA_matrix(A, BA, ref_bus_positions))
PTDFm_t = zeros(buscount, linecount)

if !isempty(dist_slack) && length(ref_bus_positions) != 1
error(
"Distibuted slack is not supported for systems with multiple reference buses.",
)
elseif isempty(dist_slack) && length(ref_bus_positions) < buscount
PTDFm_t[valid_ixs, :] = gemm(
'N',
'N',
getri!(ABA, bipiv),
BA[valid_ixs, :],
)
PTDFm_t[valid_ixs, :] = ABA \ BA[valid_ixs, :]
return PTDFm_t
elseif length(dist_slack) == buscount
@info "Distributed bus"
PTDFm_t[valid_ixs, :] = gemm(
'N',
'N',
getri!(ABA, bipiv),
BA[valid_ixs, :],
)
PTDFm_t[valid_ixs, :] = ABA \ BA[valid_ixs, :]
slack_array = dist_slack / sum(dist_slack)
slack_array = reshape(slack_array, 1, buscount)
return PTDFm_t -
Expand Down Expand Up @@ -265,8 +239,8 @@ function calculate_PTDF_matrix_DENSE(
bus_lookup::Dict{Int, Int},
dist_slack::Vector{Float64})
A, ref_bus_positions = calculate_A_matrix(branches, buses)
BA = Matrix(calculate_BA_matrix(branches, bus_lookup))
PTDFm = _calculate_PTDF_matrix_DENSE(Matrix(A), BA, ref_bus_positions, dist_slack)
BA = calculate_BA_matrix(branches, bus_lookup)
PTDFm = _calculate_PTDF_matrix_DENSE(A, BA, ref_bus_positions, dist_slack)
return PTDFm, A
end

Expand Down
Loading