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Copy pathdecrese_reconfig_417_tabu.m
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decrese_reconfig_417_tabu.m
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clear all, clc, close all
addpath('./code')
ver_num_reconfig_dec = 5
get_brch_tabu_v2 = 0
%% basic setting
tic
fprintf('decrease_reconfig_417_tabu.m \n')
warning('off')
addpath(pathdef)
mpopt = mpoption;
mpopt.out.all = 0; % do not print anything
mpopt.verbose = 0;
version_LODF = 0 % 1: use decrease_reconfig_algo_LODF.m
% 0: use decrease_reconfig_algo.m
distancePara = 10
combine3 = 1
candi_brch_bus = []; % candidate branch i added to bus j
% mpc0 = case417;
casei=4
d417_v2
substation_node = 1; n_bus = 417;
n1 = 3
n2 = 2
n1_down_substation = n1+1; n2_up_ending = n2;
Branch0 = Branch;
brch_idx_in_loop0 = unique(brch_idx_in_loop(:));
show_biograph1 = 0;
show_biograph = 0;
%% original network's power flow (not radial)
% show_biograph(Branch, Bus)
from_to = show_biograph_not_sorted(Branch, substation_node, show_biograph1);
mpc = generate_mpc(Bus, Branch, n_bus);
res_orig = runpf(mpc, mpopt);
losses = get_losses(res_orig.baseMVA, res_orig.bus, res_orig.branch);
loss0 = sum(real(losses));
fprintf('case417_tabu: original loop network''s loss is %.5f \n\n', loss0)
% for each branch in a loop,
% if open that branch does not cause isolation, check the two ending buses
% of that branch for connectivity, realized by shortestpath or conncomp
% calculate the lowest loss increase, print out the sorted loss increase
% open the branch with lowest loss increase
% stop criterion: number of buses - number of branches = 1
%% ------------------------ Core algorithm ------------------------%%
ff0 = Branch(:, 1); ff = ff0;
tt0 = Branch(:, 2); tt = tt0;
t1 = toc;
if version_LODF
[Branch] = decrease_reconfig_algo_LODF(Bus, Branch, brch_idx_in_loop, ...
ff0, tt0, substation_node, n_bus, loss0, distancePara); %%% core algorithm
else
[Branch] = decrease_reconfig_algo(Bus, Branch, brch_idx_in_loop, ff0, tt0, ...
substation_node, n_bus, loss0); %%% core algorithm
end
t2 = toc;
time_consumption.core = t2 - t1
% output of core algorithm
from_to = show_biograph_not_sorted(Branch(:, [1 2]), substation_node, ...
show_biograph1);
from_to0 = from_to;
mpc = generate_mpc(Bus, Branch, n_bus);
res_pf_dec = runpf(mpc, mpopt);
losses = get_losses(res_pf_dec.baseMVA, res_pf_dec.bus, res_pf_dec.branch);
loss0_dec = sum(real(losses)); %
fprintf('case417_tabu: radial network obtained by my core algorithm''s loss is %.5f \n\n', loss0_dec)
Branch_loss_record = [];
% record Branch and loss
Branch_loss_record.core.Branch = Branch;
Branch_loss_record.core.loss = loss0_dec;
%% prepare force open branches for tabu: branch_idx_focused
if get_brch_tabu_v2 == 1
[branch_idx_focused] = get_branch_idx_focused_for_tabu_v2( ...
from_to, Branch0, Branch, substation_node, brch_idx_in_loop0, n_bus, ...
n1_down_substation, n2_up_ending); % to answer reviewer 5-5's question
else
[branch_idx_focused] = get_branch_idx_focused_for_tabu( ...
from_to, Branch0, Branch, substation_node, brch_idx_in_loop0, n_bus, ...
n1_down_substation, n2_up_ending);
end
%% ------------------------ Tabu algorithm ------------------------%%
% run the core program for each upstream branch connected to the idx_force_open
% idx_considered = [35 69]
% for iter = idx_considered
for iter = 1:length(branch_idx_focused)
fprintf('iter=%d/%d\n', iter, length(branch_idx_focused));
Branch = Branch0;
Branch(branch_idx_focused(iter), :) = [];
ff0 = Branch(:, 1); ff = ff0;
tt0 = Branch(:, 2); tt = tt0;
brch_idx_in_loop = brch_idx_in_loop0;
idx_tmp = find(brch_idx_in_loop == branch_idx_focused(iter));
if isempty(idx_tmp)
else
brch_idx_in_loop(idx_tmp) = [];
brch_idx_in_loop(idx_tmp:end) = brch_idx_in_loop(idx_tmp:end)-1;
end
t1 = toc;
%%------------------- core algorithm in Tabu loop--------------------%%
if version_LODF
[Branch] = decrease_reconfig_algo_LODF(Bus, Branch, brch_idx_in_loop, ...
ff0, tt0, substation_node, n_bus, loss0, distancePara); %%% core algorithm
else
[Branch] = decrease_reconfig_algo(Bus, Branch, brch_idx_in_loop, ff0, tt0, ...
substation_node, n_bus, loss0); %%% core algorithm
end
t2 = toc;
time_consumption.tabu(iter) = t2-t1;
from_to = show_biograph_not_sorted(Branch(:, [1 2]), substation_node, ...
show_biograph); %%% show figure, take time
mpc = generate_mpc(Bus, Branch, n_bus);
t1 = toc;
res_pf = runpf(mpc, mpopt);
t2 = toc;
losses = get_losses(res_pf.baseMVA, res_pf.bus, res_pf.branch);
lossi = sum(real(losses)) % loss = 0.5364
% if res_pf.success==0
% [Vbus, IB, loss_sweep_MW] = SweepPowerFlow_v2(mpc, 1000);
% lossi = loss_sweep_MW*1000;
% end
loss_tabu(iter,1) = lossi;
yij_dec = generate_yij_from_Branch(Branch, Branch0);
% record Branch and loss
Branch_loss_record.tabu(iter,1).Branch = Branch;
Branch_loss_record.tabu(iter,1).loss = lossi;
[PQ, PV, REF, NONE, BUS_I, BUS_TYPE, PD, QD, GS, BS, BUS_AREA, VM, ...
VA, BASE_KV, ZONE, VMAX, VMIN, LAM_P, LAM_Q, MU_VMAX, MU_VMIN] = idx_bus;
% Vm = res_pf.bus(:, VM)';
% Va = res_pf.bus(:, VA)';
% ending_bus = find_ending_node(Branch, substation_node);
% [ending_bus'; Vm(ending_bus)];
%% ---------------------one open and one close---------------------%%
if lossi < 1.06*loss0_dec % the result of tabu is not too bad
% prepare nodes_focused for one_open_one_close
t1 = toc;
[nodes_focused] = get_nodes_focused_o1c1( ...
from_to, Branch, Branch0, substation_node, brch_idx_in_loop, ...
n1_down_substation, n2_up_ending);
loss_before_switch0 = lossi;
if combine3
[record_o1c1_loss_dec, loss_after_switch_combine_two_o1c1, Branch_loss] = ...
one_open_one_close_combine3(nodes_focused, Bus, Branch0, Branch, from_to, ...
substation_node, n_bus, loss_before_switch0);
else
[record_o1c1_loss_dec, loss_after_switch_combine_two_o1c1, Branch_loss] = ...
one_open_one_close(nodes_focused, Bus, Branch0, Branch, from_to, ...
substation_node, n_bus, loss_before_switch0);
end
t2 = toc;
time_consumption.tabu_o1c1(iter) = t2-t1;
% record Branch and loss
Branch_loss_record.tabu_o1c1_dec{iter}.Branch = Branch_loss.Branch_o1c1_dec;
% Branch_loss_record.tabu_o1c1_dec(iter,1).Branch = Branch_loss.Branch_o1c1_dec;
Branch_loss_record.tabu_o1c1_dec{iter}.loss = Branch_loss.loss_o1c1_dec;
Branch_loss_record.tabu_combine_2_o1c1_dec{iter}.Branch = ...
Branch_loss.Branch_after_switch_combine_two_o1c1;
Branch_loss_record.tabu_combine_2_o1c1_dec{iter}.loss = ...
Branch_loss.loss_after_switch_combine_two_o1c1;
if combine3
Branch_loss_record.tabu_combine_3_o1c1_dec{iter}.Branch = ...
Branch_loss.Branch_after_switch_combine_three_o1c1;
Branch_loss_record.tabu_combine_3_o1c1_dec{iter}.loss = ...
Branch_loss.loss_after_switch_combine_three_o1c1;
Branch_loss_record.tabu_combine_4_o1c1_dec{iter}.Branch = ...
Branch_loss.Branch_after_switch_combine_four_o1c1;
Branch_loss_record.tabu_combine_4_o1c1_dec{iter}.loss = ...
Branch_loss.loss_after_switch_combine_four_o1c1;
end
min_loss_o1c1 = min(record_o1c1_loss_dec(:,1));
fprintf('case417_tabu: minimum loss obtained after ''one open and one close'': %.5f\n', ...
min_loss_o1c1);
min_loss_combine_two_o1c1 = 1e9;
fprintf('case417_tabu: loss obtained after combine two ''one open and one close'': \n')
for i = 1:length(loss_after_switch_combine_two_o1c1)
temp = min(loss_after_switch_combine_two_o1c1{i});
if temp<min_loss_combine_two_o1c1
min_loss_combine_two_o1c1 = temp;
end
fprintf(' %.5f \n', temp);
end
fprintf('case417_tabu: minimum loss obtained after combine two ''one open and one close'': %.5f \n', ...
min_loss_combine_two_o1c1)
else
record_o1c1_loss_dec = 1e6;
min_loss_o1c1 = 1e6;
min_loss_combine_two_o1c1 = 1e6;
end
%% ---------------------two open and two close---------------------%%
flag_2o2c = 0
if flag_2o2c == 1
t1 = toc;
loss_before_switch0 = lossi;
[record_o2c2_loss_dec, loss_after_switch_combine_two_o2c2] = ...
two_open_two_close(nodes_focused, Bus, Branch0, Branch, from_to, ...
substation_node, n_bus, loss_before_switch0);
t2 = toc;
time_consumption.tabu_o2c2(iter) = t2-t1;
min_loss_o2c2 = min(record_o2c2_loss_dec(:,1));
fprintf('case417_tabu: minimum loss obtained after ''two open and two close'': %.5f\n', ...
min_loss_o2c2);
min_loss_combine_two_o2c2 = 1e9;
fprintf('case417_tabu: loss obtained after combine two ''two open and two close'': \n')
for i = 1:length(loss_after_switch_combine_two_o2c2)
temp = min(loss_after_switch_combine_two_o2c2{i});
if temp<min_loss_combine_two_o2c2
min_loss_combine_two_o2c2 = temp;
end
fprintf(' %.5f \n', temp);
end
fprintf('case417_tabu: minimum loss obtained after combine two ''two open and two close'': %.5f \n', ...
min_loss_combine_two_o2c2)
res_save{iter}.min_loss_o2c2 = min_loss_o2c2;
res_save{iter}.min_loss_combine_two_o2c2 = min_loss_combine_two_o2c2;
end
res_save{iter}.yij_dec = yij_dec;
res_save{iter}.Branch = Branch;
res_save{iter}.lossi = lossi;
res_save{iter}.record_o1c1_loss_dec = record_o1c1_loss_dec;
res_save{iter}.min_loss_o1c1 = min_loss_o1c1;
res_save{iter}.min_loss_combine_two_o1c1 = min_loss_combine_two_o1c1;
% file_name = ['case417_yij_Branch_', num2str(idx_force_open(iter)), '.mat'];
% save(file_name, 'yij_dec', 'Branch', 'lossi');
file_name = ['id', num2str(ver_num_reconfig_dec), ...
'_case417_yij_Branch', '.mat'];
save(file_name, 'res_save', 'branch_idx_focused', 'Branch_loss_record', ...
'time_consumption');
end
file_name = ['id', num2str(ver_num_reconfig_dec), ...
'_case417_yij_Branch', '.mat'];
save(file_name, 'res_save', 'branch_idx_focused', 'Branch_loss_record', ...
'time_consumption');
% find_all_losses(Branch_loss_record);
fprintf('case417_tabu: losses obtained after applying tabu strategy: \n') % 0.28343 zjp 2018-1-18
fprintf('%.5f \n', loss_tabu)
fprintf('----- min: %.5f -----\n', min(loss_tabu))
min_loss = 1e9;
for i = 1:length(res_save)
if min_loss>res_save{i}.min_loss_o1c1
min_loss = res_save{i}.min_loss_o1c1 ;
end
if min_loss>res_save{i}.min_loss_combine_two_o1c1
min_loss = res_save{i}.min_loss_combine_two_o1c1 ;
end
end
min_loss_o1c1 = min_loss
if flag_2o2c == 1
min_loss = 1e9;
for i = 1:length(res_save)
if min_loss>res_save{i}.min_loss_o2c2
min_loss = res_save{i}.min_loss_o2c2 ;
end
if min_loss>res_save{i}.min_loss_combine_two_o2c2
min_loss = res_save{i}.min_loss_combine_two_o2c2 ;
end
end
min_loss_o2c2 = min_loss
end
%% compare to another result
if casei == 4
idx_franco = [5, 13, 15, 16, 21, 26, 31, 54, 55, 57, 60, 73, 86, 87, 94, ...
96, 97, 111, 115, 136, 142, 148, 149, 150, 155, 158, 163, 168, 169, ...
178, 179, 191, 195, 199, 213, 214, 252, 254, 266, 282, 297, 310, 325, ...
358, 359, 362, 369, 392, 395, 400, 402, 403, 416, 423, 431, 436, 437, ...
446, 449]; % sum_loss_franco2 = 0.526406552330961
yij_franco = ones(473, 1);
yij_franco(idx_franco) = 0;
selected_brch0 = [1:473];
selected_brch0(idx_franco) = [];
idx_franco1 = [5, 13, 15, 16, 21, 26, 31, 54, 57, 59, 60, 73, 86, ... % from Borges2014Autom(Franco)
87, 94, 96, 97, 110, 111, 115, 136, 142, 149, ...
150, 155, 156, 163, 168, 169, 178, 179, 191, ...
195, 199, 214, 221, 254, 256, 266, 282, 317, ...
322, 325, 358, 359, 362, 369, 392, 395, 403, ...
404, 416, 423, 426, 431, 436, 437, 446, 449]; % sum_loss_franco2 = 0.526199118081867
selected_brch1 = [1:473];
selected_brch1(idx_franco1) = [];
idx_franco2 = [5, 13, 15, 16, 21, 26, 31, 54, 57, 59, 60, 73, 86, ... % Lavorato (2012) from Table 4 of Borges2014Autom(Franco)
87, 94, 96, 97, 110, 111, 115, 136, 142, 149, ...
150, 155, 156, 163, 168, 169, 178, 179, 191, ...
195, 199, 214, 221, 254, 256, 266, 282, 317, ...
322, 325, 358, 359, 362, 369, 392, 395, 403, ...
404, 416, 423, 426, 431, 436, 437, 446, 449]; % sum_loss_franco2 = 0.526199118081867
selected_brch2 = [1:473];
selected_brch2(idx_franco2) = [];
else
end
% save('yij_417.mat', 'yij_dec', 'yij_franco')
show_biograph_not_sorted(Branch0(selected_brch0, [1 2]), ...
substation_node, show_biograph1);
mpc = generate_mpc(Bus, Branch0(selected_brch0, :), n_bus);
res_pf_franco = runpf(mpc); % loss = 0.524
losses = get_losses(res_pf_franco.baseMVA, res_pf_franco.bus, res_pf_franco.branch);
loss0_franco = sum(real(losses)) % updated loss0
fprintf('\n')
ver_num_reconfig_dec