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Hedging Strategy and Electricity Contract Engineering - IFOR

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MWh<br />

CHF/<br />

P<br />

7.4 Value decomposition 185<br />

M<br />

60<br />

N4L5<br />

M<br />

30<br />

L<br />

15<br />

Static value<br />

Q<br />

Dynamic value<br />

R<br />

<strong>Hedging</strong> value<br />

Total value<br />

Fig. 7.8: Value decomposition of water for a risk constraint of 2 million CHF.<br />

since the low value coming from our case study is a result of the fairly low<br />

intra-day variations. The value in general of course also heavily depends on<br />

the efficiency of the pumps, here 70%.<br />

7.4.2. Value of additional turbine capacity<br />

From Chapter 4.3 we know that the hydro plant equals a series of interdependent<br />

options. An increase in the turbine capacity would in financial terms<br />

imply that we could exercise a greater amount of underlying electricity per<br />

period. This is of course valuable, but the load factor measured as the ratio<br />

between the average available water per period <strong>and</strong> the maximum possible<br />

production per period, V end 7<br />

V 0<br />

4 JS<br />

1<br />

J<br />

1 I a KU j<br />

K p<br />

jT<br />

max<br />

is already fairly low <strong>and</strong> amounts<br />

to less than 18%. The limitation is therefore not the turbine capacity, but<br />

rather the amount of available water, i. e. the coupling of the options is the<br />

limitation not the underlying amount in each of the option. The majority of the<br />

production is actually conducted at a dispatch below the maximum capacity<br />

because of the water limitations, why intuitively the value of increased turbine<br />

capacity should be limited.<br />

One could imagine that the value of increasing the turbine capacity would be<br />

highest for a loose risk constraint when the dispatch strategy is focused on producing<br />

at high prices, since peak prices could then be utilized even better. By

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