In Switzerland, generation capacity is dominated by nuclear power plants with an installed capacity of 3.3 GW and hydro power plants with a total capacity of 16.1 GW by a maximal demand of over 9.2 GW (by 2016). The majority of the installed hydro capacity are seasonal storages with 8.7 GW (by 2017) together with a maximum storage capacity of 8’800 GWh (by 2017, this value also includes the pump storage). This figures indicate that hydro power plants need to be modelled in the energy system models appropriately particularly for Switzerland. However, by applying complex models considering multiple market areas, computing time plays a crucial role. In order to reduce computing time, heuristics are often used instead of optimization methods. There are already existing heuristics for hydro pumped storage. To the best knowledge of the authors, there are no appropriate heuristic for hydro seasonal storage power plants.
For this purpose a multi stage heuristic for dispatching seasonal hydro storage power plants is developed. First, a preliminary dispatch of the seasonal hydro power plants is determined based on the residual load, the h ... mehristorical production volume and the storage level. In the second step, adjustments are made taking into account the price forecast for the wholesale markets. The heuristic always considers technical limits such as turbine capacity and water storage levels.