📄 case9_bid.m
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function [baseMVA, bus, gen, branch, area, gen_bid, load_bid] = case9
%CASE Defines the power flow data in a format similar to PTI.
% [baseMVA, bus, gen, branch, area, gencost] = case
% The format for the data is similar to PTI format except where noted.
% An item marked with (+) indicates that it is included in this data
% but is not part of the PTI format. An item marked with (-) is one that
% is in the PTI format but is not included here.
%
% Bus Data Format
% 1 bus number (1 to 29997)
% 2 bus type
% PQ bus = 1
% PV bus = 2
% reference bus = 3
% isolated bus = 4
% 3 Pd, real power demand (MW)
% 4 Qd, reactive power demand (MVAR)
% 5 Gs, shunt conductance (MW (demanded?) at V = 1.0 p.u.)
% 6 Bs, shunt susceptance (MVAR (injected?) at V = 1.0 p.u.)
% 7 area number, 1-100
% 8 Vm, voltage magnitude (p.u.)
% 9 Va, voltage angle (degrees)
% (-) (bus name)
% 10 baseKV, base voltage (kV)
% 11 zone, loss zone (1-999)
% (+) 12 maxVm, maximum voltage magnitude (p.u.)
% (+) 13 minVm, minimum voltage magnitude (p.u.)
%
% Generator Data Format
% 1 bus number
% (-) (machine identifier, 0-9, A-Z)
% 2 Pg, real power output (MW)
% 3 Qg, reactive power output (MVAR)
% 4 Qmax, maximum reactive power output (MVAR)
% 5 Qmin, minimum reactive power output (MVAR)
% 6 Vg, voltage magnitude setpoint (p.u.)
% (-) (remote controlled bus index)
% 7 mBase, total MVA base of this machine, defaults to baseMVA
% (-) (machine impedance, p.u. on mBase)
% (-) (step up transformer impedance, p.u. on mBase)
% (-) (step up transformer off nominal turns ratio)
% 8 status, 1 - machine in service, 0 - machine out of service
% (-) (% of total VARS to come from this gen in order to hold V at
% remote bus controlled by several generators)
% 9 Pmax, maximum real power output (MW)
% 10 Pmin, minimum real power output (MW)
%
% Branch Data Format
% 1 f, from bus number
% 2 t, to bus number
% (-) (circuit identifier)
% 3 r, resistance (p.u.)
% 4 x, reactance (p.u.)
% 5 b, total line charging susceptance (p.u.)
% 6 rateA, MVA rating A (long term rating)
% 7 rateB, MVA rating B (short term rating)
% 8 rateC, MVA rating C (emergency rating)
% 9 ratio, transformer off nominal turns ratio ( = 0 for lines )
% (taps at 'from' bus, impedance at 'to' bus, i.e. ratio = Vf / Vt)
% 10 angle, transformer phase shift angle (degrees)
% (-) (Gf, shunt conductance at from bus p.u.)
% (-) (Bf, shunt susceptance at from bus p.u.)
% (-) (Gt, shunt conductance at to bus p.u.)
% (-) (Bt, shunt susceptance at to bus p.u.)
% 11 initial branch status, 1 - in service, 0 - out of service
%
% (+) Area Data Format
% 1 i, area number
% 2 price_ref_bus, reference bus for that area
%
% (+) Generator Cost Data Format
% NOTE: If gen has n rows, then the first n rows of gencost contain
% the cost for active power produced by the corresponding generators.
% If gencost has 2*n rows then rows n+1 to 2*n contain the reactive
% power costs in the same format.
% 1 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
% (or data points for piecewise linear) total cost function
% 5 and following, cost data, piecewise linear data as:
% x0, y0, x1, y1, x2, y2, ...
% and polynomial data as, e.g.:
% c2, c1, c0
% where the polynomial is c0 + c1*P + c2*P^2
%
% << this file created [97-Aug-26 12:29:15] by PB::System version 1.3 >>
%%----- Power Flow Data -----%%
%% system MVA base
baseMVA = 100.0000;
%% bus data
bus = [
1 3 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
2 2 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
3 2 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
4 1 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
5 1 90.0000 30.0000 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
6 1 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
7 1 100.0000 35.0000 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
8 1 0.0 0.0 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
9 1 125.0000 50.0000 0.0 0.0 1 1.0000 0.0000 345.0000 1 1.1000 0.9000;
];
%% generator data
gen = [
1 0.0000 0.0000 300.0000 -300.0000 1.0000 100.0000 1 250.0000 10.0000;
2 163.0000 0.0000 300.0000 -300.0000 1.0000 100.0000 1 300.0000 10.0000;
3 85.0000 0.0000 300.0000 -300.0000 1.0000 100.0000 1 270.0000 10.0000;
];
%% branch data
branch = [
1 4 0.0000 0.0576 0.0000 250.0000 250.0000 250.0000 0.0000 0.0000 1;
4 5 0.0170 0.0920 0.1580 250.0000 250.0000 250.0000 0.0000 0.0000 1;
5 6 0.0390 0.1700 0.3580 150.0000 150.0000 150.0000 0.0000 0.0000 1;
3 6 0.0000 0.0586 0.0000 300.0000 300.0000 300.0000 0.0000 0.0000 1;
6 7 0.0119 0.1008 0.2090 150.0000 150.0000 150.0000 0.0000 0.0000 1;
7 8 0.0085 0.0720 0.1490 20.0000 250.0000 250.0000 0.0000 0.0000 1;
8 2 0.0000 0.0625 0.0000 40.0000 250.0000 250.0000 0.0000 0.0000 1;
8 9 0.0320 0.1610 0.3060 250.0000 250.0000 250.0000 0.0000 0.0000 1;
9 4 0.0100 0.0850 0.1760 250.0000 250.0000 250.0000 0.0000 0.0000 1;
];
%%----- OPF Data -----%%
%% area data
area = [
1 5;
];
%% generator cost data
gencost = [
2 1500.00 0.00 3 0.11 5 150;
2 2000.00 0.00 3 0.085 1.2 600;
2 3000.00 0.00 3 0.1225 1 335;
];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Sample W %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
gen_bid = [
2.00 0.02 0 80.0000; %1
1.75 0.0175 0 80.0000; %2
3.00 0.03 0 40.0000; %13
%1.00 0.625 0 50.0000; %22
%3.5 0.0625 0 30.0000; %23
%3.25 0.044 0 55.0000; %27
];
load_bid = [
1 0 0 0 0;
2 0 0 0 0;
3 0 0 0 0;
4 0 0 0 0;
5 3.75 -0.05 0 40;
6 0 0 0 0;
7 3.6 -0.04 0 100;
8 0 0 0 0;
9 3.7 -0.03 0 40;
%10 0 0 0 0
%11 0 0 0 0;
%12 4.0 -0.015 0 80;
%13 0 0 0 0
%14 0 0 0 0
%15 4.5 -0.02 0 40;
%16 0 0 0 0
%17 4.2 -0.02 0 40;
%18 0 0 0 0
%19 0 0 0 0
%20 0 0 0 0
%21 0 0 0 0
%22 0 0 0 0
%23 0 0 0 0
%24 4.0 -0.03 0 40;
%25 0 0 0 0
%26 4.1 -0.04 0 40;
%27 4.2 -0.02 0 40;
%28 0 0 0 0
%29 0 0 0 0
%30 0 0 0 0
];
return;
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