Description of checkDataIntegrity

0001 function [success, measure, idx, sigma] = checkDataIntegrity(measure, idx, sigma, nbus)
0002 %CHECKDATAINTEGRITY  Check state estimation input data integrity.
0003 %   returns 1 if the data is complete, 0 otherwise.
0004 %   NOTE: for each type of measurements, the measurement vector and index
0005 %   vector should have the same length. If not, the longer vector will be
0006 %   truncated to have the same length as the shorter vector.
0007 %   created by Rui Bo on Jan 9, 2010
0008 
0009 %   MATPOWER
0010 %   Copyright (c) 2009-2016, Power Systems Engineering Research Center (PSERC)
0011 %   by Rui Bo
0012 %
0013 %   This file is part of MATPOWER.
0014 %   Covered by the 3-clause BSD License (see LICENSE file for details).
0015 %   See http://www.pserc.cornell.edu/matpower/ for more info.
0016 
0017 %% options
0018 verbose = 2;
0019 
0020 success     = 1;    % pass integrity check?
0021 nowarning   = 1;    % no warning found?
0022 
0023 %% check input data consistency
0024 % for PF
0025 if length(measure.PF) ~= length(idx.idx_zPF)
0026     fprintf('Warning: measurement vector and index vector for PF do not have the same length. The longer vector will be truncated.\n');
0027     min_len = min(length(measure.PF), length(idx.idx_zPF));
0028     measure.PF  = measure.PF(1:min_len);
0029     idx.idx_zPF = idx.idx_zPF(1:min_len);
0030     nowarning = 0;
0031 end
0032 if ~isempty(idx.idx_zPF) && length(sigma.sigma_PF) <= 0 % no sigma defined
0033     fprintf('Error: Sigma for PF is not specified.\n');
0034     success = 0;
0035 end
0036 if length(sigma.sigma_PF) > 1
0037     fprintf('Warning: Sigma for PF is assigned multiple values. The first value will be used.\n');    
0038     sigma.sigma_PF = sigma.sigma_PF(1);
0039     nowarning = 0;
0040 end
0041 
0042 % for PT
0043 if length(measure.PT) ~= length(idx.idx_zPT)
0044     fprintf('Warning: measurement vector and index vector for PT do not have the same length. The longer vector will be truncated.\n');
0045     min_len = min(length(measure.PT), length(idx.idx_zPT));
0046     measure.PT  = measure.PT(1:min_len);
0047     idx.idx_zPT = idx.idx_zPT(1:min_len);
0048     nowarning = 0;
0049 end
0050 if ~isempty(idx.idx_zPT) && length(sigma.sigma_PT) <= 0 % no sigma defined
0051     fprintf('Error: Sigma for PT is not specified.\n');
0052     success = 0;
0053 end
0054 if length(sigma.sigma_PT) > 1
0055     fprintf('Warning: Sigma for PT is assigned multiple values. The first value will be used.\n');    
0056     sigma.sigma_PT = sigma.sigma_PT(1);
0057     nowarning = 0;
0058 end
0059 
0060 % for PG
0061 if length(measure.PG) ~= length(idx.idx_zPG)
0062     fprintf('Warning: measurement vector and index vector for PG do not have the same length. The longer vector will be truncated.\n');
0063     min_len = min(length(measure.PG), length(idx.idx_zPG));
0064     measure.PG  = measure.PG(1:min_len);
0065     idx.idx_zPG = idx.idx_zPG(1:min_len);
0066     nowarning = 0;
0067 end
0068 if ~isempty(idx.idx_zPG) && length(sigma.sigma_PG) <= 0 % no sigma defined
0069     fprintf('Error: Sigma for PG is not specified.\n');
0070     success = 0;
0071 end
0072 if length(sigma.sigma_PG) > 1
0073     fprintf('Warning: Sigma for PG is assigned multiple values. The first value will be used.\n');    
0074     sigma.sigma_PG = sigma.sigma_PG(1);
0075     nowarning = 0;
0076 end
0077 
0078 % for Va
0079 if length(measure.Va) ~= length(idx.idx_zVa)
0080     fprintf('Warning: measurement vector and index vector for Va do not have the same length. The longer vector will be truncated.\n');
0081     min_len = min(length(measure.Va), length(idx.idx_zVa));
0082     measure.Va  = measure.Va(1:min_len);
0083     idx.idx_zVa = idx.idx_zVa(1:min_len);
0084     nowarning = 0;
0085 end
0086 if ~isempty(idx.idx_zVa) && length(sigma.sigma_Va) <= 0 % no sigma defined
0087     fprintf('Error: Sigma for Va is not specified.\n');
0088     success = 0;
0089 end
0090 if length(sigma.sigma_Va) > 1
0091     fprintf('Warning: Sigma for Va is assigned multiple values. The first value will be used.\n');    
0092     sigma.sigma_Va = sigma.sigma_Va(1);
0093     nowarning = 0;
0094 end
0095 
0096 % for QF
0097 if length(measure.QF) ~= length(idx.idx_zQF)
0098     fprintf('Warning: measurement vector and index vector for QF do not have the same length. The longer vector will be truncated.\n');
0099     min_len = min(length(measure.QF), length(idx.idx_zQF));
0100     measure.QF  = measure.QF(1:min_len);
0101     idx.idx_zQF = idx.idx_zQF(1:min_len);
0102     nowarning = 0;
0103 end
0104 if ~isempty(idx.idx_zQF) && length(sigma.sigma_QF) <= 0 % no sigma defined
0105     fprintf('Error: Sigma for QF is not specified.\n');
0106     success = 0;
0107 end
0108 if length(sigma.sigma_QF) > 1
0109     fprintf('Warning: Sigma for QF is assigned multiple values. The first value will be used.\n');    
0110     sigma.sigma_QF = sigma.sigma_QF(1);
0111     nowarning = 0;
0112 end
0113 
0114 % for QT
0115 if length(measure.QT) ~= length(idx.idx_zQT)
0116     fprintf('Warning: measurement vector and index vector for QT do not have the same length. The longer vector will be truncated.\n');
0117     min_len = min(length(measure.QT), length(idx.idx_zQT));
0118     measure.QT  = measure.QT(1:min_len);
0119     idx.idx_zQT = idx.idx_zQT(1:min_len);
0120     nowarning = 0;
0121 end
0122 if ~isempty(idx.idx_zQT) && length(sigma.sigma_QT) <= 0 % no sigma defined
0123     fprintf('Error: Sigma for QT is not specified.\n');
0124     success = 0;
0125 end
0126 if length(sigma.sigma_QT) > 1
0127     fprintf('Warning: Sigma for QT is assigned multiple values. The first value will be used.\n');    
0128     sigma.sigma_QT = sigma.sigma_QT(1);
0129     nowarning = 0;
0130 end
0131 
0132 % for QG
0133 if length(measure.QG) ~= length(idx.idx_zQG)
0134     fprintf('Warning: measurement vector and index vector for QG do not have the same length. The longer vector will be truncated.\n');
0135     min_len = min(length(measure.QG), length(idx.idx_zQG));
0136     measure.QG  = measure.QG(1:min_len);
0137     idx.idx_zQG = idx.idx_zQG(1:min_len);
0138     nowarning = 0;
0139 end
0140 if ~isempty(idx.idx_zQG) && length(sigma.sigma_QG) <= 0 % no sigma defined
0141     fprintf('Error: Sigma for QG is not specified.\n');
0142     success = 0;
0143 end
0144 if length(sigma.sigma_QG) > 1
0145     fprintf('Warning: Sigma for QG is assigned multiple values. The first value will be used.\n');    
0146     sigma.sigma_QG = sigma.sigma_QG(1);
0147     nowarning = 0;
0148 end
0149 
0150 % for Vm
0151 if length(measure.Vm) ~= length(idx.idx_zVm)
0152     fprintf('Warning: measurement vector and index vector for Vm do not have the same length. The longer vector will be truncated.\n');
0153     min_len = min(length(measure.Vm), length(idx.idx_zVm));
0154     measure.Vm  = measure.Vm(1:min_len);
0155     idx.idx_zVm = idx.idx_zVm(1:min_len);
0156     nowarning = 0;
0157 end
0158 if ~isempty(idx.idx_zVm) && length(sigma.sigma_Vm) <= 0 % no sigma defined
0159     fprintf('Error: Sigma for Vm is not specified.\n');
0160     success = 0;
0161 end
0162 if length(sigma.sigma_Vm) > 1
0163     fprintf('Warning: Sigma for Vm is assigned multiple values. The first value will be used.\n');    
0164     sigma.sigma_Vm = sigma.sigma_Vm(1);
0165     nowarning = 0;
0166 end
0167 
0168 % pause when warnings are present
0169 if success && ~nowarning
0170     fprintf('Press any key to continue...\n');
0171     pause;
0172 end
0173 
0174 %% check if total number of measurements is no less than total number of
0175 %% variables to be estimated
0176 allMeasure = [
0177                 measure.PF
0178                 measure.PT
0179                 measure.PG
0180                 measure.Va
0181                 measure.QF
0182                 measure.QT
0183                 measure.QG
0184                 measure.Vm    
0185                 ];
0186 if length(allMeasure) < 2*(nbus - 1)
0187     fprintf('Error: There are less measurements (%d) than number of variables to be estimated (%d).\n', length(allMeasure), 2*(nbus - 1));
0188     success = 0;
0189 end
checkDataIntegrity

PURPOSE

SYNOPSIS

DESCRIPTION

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