idx_cost.m

该程序是计算最优潮流的matlab工具箱。可以很好的求解目标函数不同的最优潮流问题。

function [PW_LINEAR, POLYNOMIAL, MODEL, STARTUP, SHUTDOWN, N, COST] = idx_cost
%IDX_COST   Defines constants for named column indices to gencost matrix.
%
%   [PW_LINEAR, POLYNOMIAL, MODEL, STARTUP, SHUTDOWN, N, COST] = idx_cost
%
%   Some examples of usage, after defining the constants using the line above,
%   are:
%
%    start = gencost(4, STARTUP);       % get startup cost of generator 4
%    gencost(2, [MODEL, N:COST+1]) = [ POLYNOMIAL 2 30 0 ];
%    % set the cost of generator 2 to a linear function COST = 30 * Pg
% 
%   The index, name and meaning of each column of the gencost matrix is given
%   below:
% 
%   columns 1-5
%    1  MODEL       cost model, 1 - piecewise linear, 2 - polynomial
%    2  STARTUP     startup cost in US dollars
%    3  SHUTDOWN    shutdown cost in US dollars
%    4  N           number of cost coefficients to follow for polynomial cost
%                   function, or number of data points for piecewise linear
%    5  COST        1st column of cost parameters
%                   cost data defining total cost function
%                   For polynomial cost (highest order coeff first):
%                           e.g. c2, c1, c0
%                   where the polynomial is c0 + c1*P + c2*P^2
%                   For piecewise linear cost:
%                           x0, y0, x1, y1, x2, y2, ...
%                   where x0 < x1 < x2 < ... and the points (x0,y0), (x1,y1),
%                   (x2,y2), ... are the end- and break-points of the total
%                   cost function.
% 
%   additional constants, used to assign/compare values in the MODEL column
%    1  PW_LINEAR   piecewise linear generator cost model
%    2  POLYNOMIAL  polynomial generator cost model

%   MATPOWER
%   $Id: idx_cost.m,v 1.5 2004/12/15 22:46:29 ray Exp $
%   by Ray Zimmerman, PSERC Cornell
%   Copyright (c) 1996-2004 by Power System Engineering Research Center (PSERC)
%   See http://www.pserc.cornell.edu/matpower/ for more info.

%% define cost models
PW_LINEAR   = 1;
POLYNOMIAL  = 2;

%% define the indices
MODEL       = 1;    %% cost model, 1 - piecewise linear, 2 - polynomial 
STARTUP     = 2;    %% startup cost in US dollars
SHUTDOWN    = 3;    %% shutdown cost in US dollars
N           = 4;    %% number breakpoints in piecewise linear cost function,
                    %% or number of coefficients in polynomial cost function
COST        = 5;    %% beginning of cost parameters,
                    %% piecewise linear data as:
                    %%      x0, y0, x1, y1, x2, y2, ...
                    %% and polynomial data as:
                    %%      c2, c1, c0
                    %% where the polynomial is c2*P^2 + c1*P + c0
                    %% note: polynomials can be of any degree, highest
                    %% order coefficient always goes first

return;