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Allocation of Hydroelectric Economic Rent Using a Cooperative Game Theoretic Approach
by Egill Benedikt Hreinsson Department of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 6, Reykjavik, (Iceland) Email: egill@hi.is
Allocation of Hydroelectric Economic Rent Using a Cooperative Game - - PowerPoint PPT Presentation
The 44th International Universities Power Engineering Conference, September, 1-4, 2009, Glasgow, Scotland Allocation of Hydroelectric Economic Rent Using a Cooperative Game Theoretic Approach by Egill Benedikt Hreinsson Department of
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by Egill Benedikt Hreinsson Department of Electrical and Computer Engineering, University of Iceland, Hjardarhagi 6, Reykjavik, (Iceland) Email: egill@hi.is
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a1 a2 ak ak-1 ak+1 aN aN-2 aN-1 a4 a3 a5
2 4 3 5 k k+1 1 N-1 N-2 N Ocean
x1
Legend: Owner # n Boundary with flow estimate point Boundary with flow estimate point Lateral inflow, an Theoretical potential n
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N 2 1 Ocean Lateral inflows: Lateral energy inflows: Elevation: Energy contribution Owner #: River and flow estimate points: Stream-flow series
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1 2 1 2 3 2 2 2 3 3 3
Energy inflow to zone 1: 2 Energy inflow to zone 2 : 2 2 Energy inflow to zone 3 :
g g g
a e w k a e a e w k w k a e =
+
The energy contribution of each owner is given by, where
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e = :
1 1 2 2 2 2 3 3 2
Energy contribution of zone 1: ( ) 2 Energy contribution of zone 2: ( )( ) 2
g g
a u k v e a u k v e e = + = + − Zone 3 is “dummy”. It is easy to verify that the total energy in this simple 3 zone case is
1 2 1 2 3
u u w w w W + = + + = .
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N N
N N
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x r i S i S c i S
∈ ∈ ∈
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S T S T
∪ =
N
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i
i i N
∈
1 1 2 2 1 3 3 2 3
1 2 3
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1 2 3 1 2 1 3 2 3 1 2 3
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Life Lateral Accumu- Energy Energy Energy cycle Inflow lated Inflow Contri- Contri- Cost Flow bution bution (m) (M$/yr) i e i a i v i w i u i a i w i f i c i 1 1300 3450 113 487 38% 10% 43% 32,1 2 80 700 2150 183 313 20% 16% 28% 23,8 3 160 1100 1450 586 333 32% 52% 29% 28,6 330 350 350 251 10% 22% Total 3450 1133 1133 100% 100% 100% 84,5 Elevation Zone # Lateral inflow Energy inflow (Gl/Year) (%) (GWh/year)
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A=[-1 -1 0 0;-1 0 -1 0;-1 0 0 -1;
b = -xlsread('likan.xls', 1, 'ak17:ak22') lb=[-1000;0;0;0] ub=[0;1000;1000;1000] Aeq=[0 1 1 1] beq=xlsread('likan.xls', 1, 'ak23') f=[1 0 0 0] z = linprog(f,A,b,Aeq,beq,lb,ub) xlswrite('likan.xls', z, 1,'an17:an19')
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z =
54.2471 39.9023 51.4323 f = 1 0 0 0 Optimization terminated. beq = 145.5817 Aeq = 0 1 1 1 ub = 1000 1000 1000 lb =
b =
A =
0 0
0 -1
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Coa- Indi Benefit Indi Benefit lition vidual in Cost Coa- vidual in firm project joining factor lition project joining energy firm coa- cost cost coa- energy lition lition (%) (%) $/M Wh α (S ) x (S ) x i b x (S) β (S ) c (S ) c i b c (S) 1 1 46% 224 224 0 100% 32.1 32.1 0.0 143 2 1 42% 131 131 0 100% 23.8 23.8 0.0 181 3 1 57% 190 190 0 100% 28.6 28.6 0.0 151 4 2 56% 448 355 93 91% 50.9 55.9 5.0 114 5 2 62% 508 414 95 89% 54.1 60.7 6.7 106 6 2 66% 426 321 105 87% 45.6 52.4 6.8 107 7 3 75% 849 545 304 79% 66.8 84.5 17.8 79 {1,3} {2,3} {1,2,3} S {1} {2} {3} {1,2} (GWh/year)
Number of projects in coal.
Coalition Coalition Cost Coalition energy (M$/year) Unit cost Energy factor Coalition # Projects in S
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9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 AG AH AI AJ AK AL AM AN AO Projects Coa- Indi Benefit Benefit in lition vidual in Allocated joining Coa- Coa- Economic project joining Economic grand lition lition Rent Economic coa- Rent coa- # S Rent lition lition S r (S ) r i b r (S) z i z i -r i 1 {1} 1 250 23.9 23.9 0.0 54.2 30.4 2 {2} 1 250 9.1 9.1 0.0 39.9 30.8 3 {3} 1 250 18.8 18.8 0.0 51.4 32.6 4 {1,2} 2 250 61.1 32.9 28.2 94.1 33.0 5 {1,3} 2 250 73.0 42.7 30.3 105.7 32.7 6 {2,3} 2 250 60.9 27.9 33.1 91.3 30.4 7 {1,2,3} 3 250 145.6 51.7 93.9 145.6 0.0 Market price ($/MWh) Coalition Number of projects in coalition (M$/year) Allocation (M$/year) Coalition Economic Rent
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