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The North Seas Countries' Offshore Grid Initiative - Initial ... - Benelux

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A 1.2 Market Modelling I - b)<strong>Initial</strong> Dispatches<br />

A 1.2.1 Overview of Market Modelling<br />

<strong>The</strong> market modelling tools used in the NSCOGI studies simulate the electricity market<br />

behaviour for a one year period in hourly time steps. <strong>The</strong> modelling tools schedule the<br />

production of electricity by generators to meet demand at least cost while satisfying<br />

operational and security constraints. In general, each country is represented as a single<br />

market node (with some exceptions) with its generation portfolio and hourly electricity<br />

demand. <strong>The</strong> market models optimise the production of electricity across all market nodes<br />

taking into account economic trading of electricity across interconnections. <strong>The</strong> hourly<br />

production values for each generation category and hourly commercial exchanges<br />

between the market nodes within the modelled perimeter are output from the model. <strong>The</strong><br />

models calculate the variable cost of production comprising fuel costs, CO emissions<br />

2<br />

costs and the variable operational and maintenance costs (VOM) of operating generation<br />

plan (excluding fuel and CO costs).<br />

2<br />

<strong>The</strong> Net Transfer Capacities (NTCs) set the limit for commercial exchanges between<br />

market nodes in the market model and these are not exceeded in the model.<br />

For this study, the TSOs used three market simulation tools in parallel (Antares,<br />

PowerSym4 and PROMOD IV). For the studied scenario, the results of the three simulation<br />

tools were compared in depth enabling the TSOs to verify the results and to increase the<br />

quality of the market analysis.<br />

A 1.2.2 Market Model Setup<br />

A regional database, containing detailed 2030 generation and load data submitted by the<br />

TSOs in each of the NSCOGI member countries (shaded in blue in Figure 7-3), was used to<br />

model the power system within the NSCOGI geographic perimeter. This model matched<br />

the details of the scenario and additional assumptions described in Chapter 3.<br />

ENTSO-E’s 2020 Pan European Market Modelling Database (PEMMDB), collated during<br />

preparation of ENTSO-E’s Ten Year Network Development Plan (TYNDP) 2012, was used to<br />

model the European power system outside the <strong>North</strong> Sea Region as follows:<br />

1. Generation and load data for neighbouring countries, shaded orange in the map in<br />

Figure 7-3, were included in the market model in detail similar to the PEMMDB to<br />

address market behaviour across the boundaries with NSCOGI countries.<br />

2. <strong>The</strong> market beyond the neighbouring countries was modelled using fixed hourly<br />

commercial flows between the neighbouring countries and those beyond. <strong>The</strong>se<br />

commercial power flows were derived for each scenario from the PEMMDB Europewide<br />

market analysis.<br />

Page7-5

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