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Enviado por   •  31 de Mayo de 2021  •  Documentos de Investigación  •  13.199 Palabras (53 Páginas)  •  60 Visitas

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RESPALDO DIAGRAMAS

[pic 1]

[pic 2][pic 3][pic 4][pic 5][pic 6][pic 7][pic 8][pic 9][pic 10][pic 11][pic 12][pic 13][pic 14][pic 15][pic 16][pic 17][pic 18][pic 19][pic 20][pic 21][pic 22][pic 23]

RESPALDOS MATLAB – GRAFICAS

Fig 4

close all

hold on 

 

x1=[2015 2020 2025 2030 2035 2040 2045 2050];

y1=[0 16 38 66 88 93 98 99];

 

x2=[2015 2020 2025 2030 2035 2040 2045 2050];

y2=[ 0 16 37 51 71 84 96 97];

 

x3=[2015 2020 2025 2030 2035 2040 2045 2050];

y3=[0 9 13 17 21 26 30 35];

 

x4=[2015 2020 2025 2030 2035 2040 2045 2050];

y4=[0 16 37 65 88 96 98 99];

 

x5=[2015 2020 2025 2030 2035 2040 2045 2050];

y5=[0 16 31 40 60 83 96 97];

 

grid on

 

xlabel('Year')

ylabel('VRE penetracion [%de demanda anual]')

 

plot(x1, y1, 'k*-', x2,y2, 'gx--', x3,y3, 'bo--', x4,y4, 'kd--', x5,y5, 'g*--')

lgd = legend('BC','NCC', 'CP', 'BCWC', 'NCCWC');

 

axis([2015 2050 0 100])

[pic 24]

close all

hold on 

 

x1=[2015 2020 2025 2030 2035 2040 2045 2050];

y1=[0 2.5 2.5 9.2 11 12.5 11.4 11];

 

x2=[2015 2020 2025 2030 2035 2040 2045 2050];

y2=[ 0 2.5 2 5.5 8 11.8 12 12.4];

 

x3=[2015 2020 2025 2030 2035 2040 2045 2050];

y3=[0 4.8 3 2.5 2.2 2 1.8 1.7];

 

x4=[2015 2020 2025 2030 2035 2040 2045 2050];

y4=[0 0.5 0.5 0.3 0.2 0.3 0.2 0.2];

 

x5=[2015 2020 2025 2030 2035 2040 2045 2050];

y5=[0 0.6 0.6 0.4 0.2 0.3 0.2 0.2];

 

x6=[2015 2020 2025 2030 2035 2040 2045 2050];

y6=[0.1 3.4 3.1 12 15.2 18.2 20 20.5];

 

x7=[2015 2020 2025 2030 2035 2040 2045 2050];

y7=[0 3.4 3.2 7.5 11.5 13.4 18.7 19 ];

 

x8=[2015 2020 2025 2030 2035 2040 2045 2050];

y8=[0.1 6.4 4.6 4.9 4 3.8 3 2.8 ];

 

x9=[2015 2020 2025 2030 2035 2040 2045 2050];

y9=[0 1.8 2 5.8 8.8 11.8 12.4 12.1];

 

x10=[2015 2020 2025 2030 2035 2040 2045 2050];

y10=[0 1.8 2 2.7 5.4 7.3 9.3 10.4];

 

x11=[2015 2020 2025 2030 2035 2040 2045 2050];

y11=[0 0.8 0.8 2.1 4.2 5 8.9 9.3 ];

 

x12=[2015 2020 2025 2030 2035 2040 2045 2050];

y12=[0 2 2 2.2 2.5 2.4 6.5 6.4];

 

x13=[2015 2020 2025 2030 2035 2040 2045 2050];

y13=[0 2.5 2.2 2.6 2.7 2.7 2 1.8];

 

x14=[2015 2020 2025 2030 2035 2040 2045 2050];

y14=[0 1.9 2.3 6 9 11.8 12.2 12];

 

x15=[2015 2020 2025 2030 2035 2040 2045 2050];

y15=[0 1.8 2.4 2.5 5.2 7.5 9 10.2];

 

grid on

 

xlabel('Year')

ylabel('Pérdida [%de la generación total de RE]')

 

plot(x1, y1, 'k*-', x2,y2, 'Kx-', x3,y3, 'Ko--', x4,y4, 'kd--', x5,y5, 'Kp--', x6, y6, 'b*-', x7,y7, 'bx-', x8,y8, 'bo--', x9,y9, 'bd-', x10,y10, 'bp--',x11, y11, 'g*-', x12,y12, 'gx-', x13,y13, 'go--', x14,y14, 'gd-', x15,y15, 'gp--')

lgd = legend('Curtailment, BC','Curtailment, NCC', 'Curtailment, CP', 'Curtailment, BCWC', 'Curtailment, NCCWC','Total loss, BC','Total loss, NCC', 'Total loss, CP', 'Total loss, BCWC', 'Total loss, NCCWC','Store loss, BC','Store loss, NCC', 'Store loss, CP', 'Store loss, BCWC', 'Store loss, NCCWC');

 

axis([2015 2050 0 25])

[pic 25]

Fig 9

close all

hold on 

 

x1=[110 800 2000 9000 11900];

y1=[65   88  93 97   99];

 

x2=[0 30 50 60 90 110 130];

y2=[9 11 15 21 25 30 35 ];

 

x3=[150 5000 8900 13000  15000];

y3=[64  88   96    98     99.5];

 

x4=[0 120 100 4500 5500];

y4=[1 70  85  94.5   95 ];

 

 

x5=[0 30  30 125 3900 8500 11000];

y5=[15 32 40  60 83   95    97];

 

x6=[0 100 2000  11900 ];

y6=[0 85  93   99];

 

 

x7=[0 150 3900 5000 8900 11000 13000  15000];

y7=[1 64   83   88   96   97    98     99.5];

 

grid on

 

xlabel('Capacidad de bateria [GWh]')

...

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