GAP - Generation Analysis and Planning
In GAP software, 5 groups of input data are proposed:
- Generation: thermal, hydro and solar power plants, wind farms and pump-storage units,
- Maintenance schedules of thermal units,
- Hydro data,
- Fuels hypothesis,
- Load profiles,
For each group, the user will specify several alternative cases during the time of the study. A specific combination of these alternatives represents/is a Scenario. Generation expansion planning involves several alternative projections or cases for each data group leads to a particular Scenario.
GAP offers a powerful scenario manager which allows the user to easily create, maintain and organise the data and corresponding results of various expansion scenarios. Scenarios are organised in a hierarchical way. The inheritance principle allows to distinguish easily for each scenario which data are different from its parent scenario.
Generation and Interconnections data
Generation data define the power generation capabilities of thermal-, hydro- and pumping storage units. Typical data for these units are installation and decommissioning years, investment and operating costs, generation capacity, reliability, fuel consumption, etc… Interconnections can be set as well in order to take into account energy imports and exports.
For each type of fuel used in the model, the calorific value and the evolution of the cost over time are defined. This evolution is displayed in a graphical way allowing an immediate plausibility check.
In the maintenance data section, the user determines, for each generation unit, the weeks when it will be unavailable due to planned maintenance. Several cases (alternatives) may be defined for each generating unit.
For each hydro unit, for each week of the study period, the generating capacity, the 'must run' fraction of it, and the generated energy will be defined. Several cases may be defined to reflect various water inflow or hydro operation assumptions. Hydro data may be automatically shown in a graphic way which allows visual plausibility check.
For wind farms will be given the wind characteristics of the farm and the description of the types of turbines used.
Solar power plants
For solar power plants will be given the solar resource and the description of the photovoltaic equipment used.
The system load evolution is described in a very compact form. It uses a yearly peak value, a yearly load shape of weekly peaks, and weekly load shapes of daily peaks. Several alternatives can be defined in various cases to be included in different expansion scenarios. Load data evolution and profiles are automatically shown in a graphic way which allows visual plausibility check.