Hedging Strategy and Electricity Contract Engineering - IFOR
Hedging Strategy and Electricity Contract Engineering - IFOR
Hedging Strategy and Electricity Contract Engineering - IFOR
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6.4 Modeling of plants <strong>and</strong> their operational flexibility 121<br />
price, exercise flexibility, volume flexibility <strong>and</strong> interruptability for the contract<br />
portfolio. The marginal cost of a plant, as already mentioned, corresponds<br />
to the strike price of an option, <strong>and</strong> the availability of a plant corresponds to<br />
the interruptability of an OTC contract. Before the production portfolio is<br />
optimized we identify the contracts corresponding to each plant, which we<br />
call contract engineering. By doing this we can more easily compare the<br />
production <strong>and</strong> the contract portfolio <strong>and</strong> derive the optimal dispatch strategy<br />
for the different plant types. The power portfolio optimization problem is very<br />
tractable from an academic point of view, since the engineering skills <strong>and</strong><br />
ways of thinking are needed to underst<strong>and</strong> the production portfolio, whereas<br />
financial thinking <strong>and</strong> skills are needed for the underst<strong>and</strong>ing of the contract<br />
portfolio. The return of a power portfolio is affected by four major sources<br />
of uncertainty; spot price, dem<strong>and</strong> in swing options creating volume risk,<br />
inflow into water dams adding production output uncertainty <strong>and</strong> fuel prices<br />
for thermal plants causing production cost uncertainty. The importance of<br />
the fuel price effect on the profit <strong>and</strong> loss should not be underestimated. For<br />
example, PowerGen [plc92] attributes almost 70% of their operating costs to<br />
fuel. Further fuel prices are volatile, in 1974 oil prices quadrupled <strong>and</strong> doubled<br />
in 1979. Derivatives of oil, like natural gas, followed a similar pattern.<br />
In general we will assume that the time, over which we study profit <strong>and</strong> risk<br />
corresponds to K periods, where the length of each period is given by the length<br />
of the spot contract, typically one hour.<br />
6.4. Modeling of plants <strong>and</strong> their operational flexibility<br />
For some plant types it is trivial to find the dispatch strategy making full use of<br />
the operational flexibility, for other plants it is however a complex task. Before<br />
we investigate this strategy for the most challenging plant, the hydro storage<br />
plant in depth, we as an introduction shortly discuss the strategy corresponding<br />
to the other plant types.