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Annex c – details on the Methodology and Models<br />

A detailed <strong>Europe</strong>an grid model <strong>in</strong>clud<strong>in</strong>g the countries<br />

<strong>in</strong> Eastern <strong>Europe</strong> and power exchange capacities with<br />

Russia is the fundamental <strong>in</strong>put for the power flow<br />

calculations. The <strong>in</strong>puts to the program are the grid<br />

model, the generation capacity forecast and cost for<br />

all generator types per country, hydro reservoir levels,<br />

and time series for demand, w<strong>in</strong>d power production<br />

and hydro <strong>in</strong>flow.<br />

For each hour the program updates the demand, w<strong>in</strong>d<br />

production and marg<strong>in</strong>al cost of hydro units based on<br />

reservoir levels, and runs an optimal power flow which<br />

determ<strong>in</strong>es the power output of all generators and on<br />

all l<strong>in</strong>es. PSST keeps track of the reservoir level for hydro<br />

units by calculat<strong>in</strong>g the <strong>in</strong>flow and hydro production<br />

given by the hourly solution of the marked model. The<br />

power output of the generators is dependent on the<br />

m<strong>in</strong>imum and maximum capacity, the marg<strong>in</strong>al cost<br />

relative to other generators as well as the limitations<br />

of power flow on l<strong>in</strong>es capacity and the impedances.<br />

The <strong>Europe</strong>an grid model used <strong>in</strong> this project is divided<br />

<strong>in</strong>to five synchronous regions: Cont<strong>in</strong>ental <strong>Europe</strong><br />

(former UCTE), Great Brita<strong>in</strong>, Ireland, the Nordic region<br />

(former Nordel) and the Baltic region. The countries<br />

<strong>in</strong>cluded <strong>in</strong> the model are shown <strong>in</strong> Figure 12.3. The<br />

zones with<strong>in</strong> the countries are <strong>in</strong>dicated by white dots,<br />

<strong>in</strong>terconnections are given as blue l<strong>in</strong>es. As can be<br />

seen, France is modelled as 4 zones, while Germany<br />

is modelled as 6 zones.<br />

By add<strong>in</strong>g the network grid as constra<strong>in</strong>ts to the market<br />

model the effect of network constra<strong>in</strong>ts on both prices<br />

and bottlenecks is identified. Not only will it identify<br />

production and consumption but also the utilisation<br />

of <strong>in</strong>dividual branch and HVDC connections, show<strong>in</strong>g<br />

where power flows through the system, identify<strong>in</strong>g<br />

bottlenecks and ma<strong>in</strong> power transfer corridors. The results<br />

from the market model optimisation are given on<br />

a detailed level for <strong>in</strong>dividual branches and nodes, but<br />

it is also aggregated to area/zone totals to ease the<br />

analysis of the results for such a large model.<br />

The total cost which is a direct output of the market<br />

model, is a good parameter for evaluat<strong>in</strong>g the benefit<br />

of <strong>in</strong>troduc<strong>in</strong>g new capacities <strong>in</strong>to the electrical power<br />

system 62 , while the price difference between parts<br />

of the system is an <strong>in</strong>dication of where to <strong>in</strong>troduce<br />

such new capacities. In order to <strong>in</strong>dentify the need for<br />

<strong>in</strong>terconnectors between countries price differences<br />

between areas are required. However, the model<br />

will produce nodal prices which reflect the marg<strong>in</strong>al<br />

cost of supply<strong>in</strong>g power to a given node. The nodal<br />

prices are a good basis for comput<strong>in</strong>g the area price,<br />

i.e. the wholesale consumer price for power with<strong>in</strong> a<br />

geographic area. Such areas are typically countries or<br />

zones with<strong>in</strong> a country. Area prices <strong>in</strong> the PSST are<br />

computed from nodal prices as a weighted average,<br />

with weights given as the relative demand with<strong>in</strong> the<br />

area. That is, the nodal prices at heavy load nodes are<br />

more important than the nodal prices at nodes with<br />

light load. In this way the model is able to f<strong>in</strong>d area<br />

prices, while still <strong>in</strong>clud<strong>in</strong>g the electricity network and<br />

hav<strong>in</strong>g the high degree of freedom given by the nodal<br />

price model.<br />

When compar<strong>in</strong>g the <strong>in</strong>frastructure costs to the system<br />

benefits for two different design options, the system benefits<br />

are calculated as the present value of the difference<br />

<strong>in</strong> total cost between both cases over a lifetime of 25<br />

years, and calculated with a discount factor of 6%.<br />

More <strong>in</strong>formation on the market and grid model can be<br />

found <strong>in</strong> Deliverable D6.1 and D6.2 [29].<br />

62 Do<strong>in</strong>g the analysis via the total system costs means that the optimisation is done from <strong>Europe</strong>an welfare po<strong>in</strong>t of view.<br />

122 <strong>Offshore</strong>Grid – F<strong>in</strong>al Report

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