GAP is a software dedicated to analysis and planning of hydro-thermal, WIND and SOLAR power generation systems.

At the time of the complexification of interconnected transmission networks, the diversification of supply energy resources and the introduction of new intermittent renewable energies (wind and solar), it has become fundamental to better analyse and control energy production in order to guarantee an acceptable stability and quality of service level.

With more than 30 years of experience and already deployed in major national utilities and energy ministries, GAP software is coming back, after 2 years of modernization, to the strategic segment of analysis and generation planning, offering new powerful and advanced functionalities, taking into account actual issues on the following technical and economic aspects:

Technical optimization:

  • Load Forecasting
  • Generation from thermal and hydroelectric powerplants, solar and wind parks, storage site, import and export of energy ...
  • Diagnosis and analysis of the electrical generation system
  • Study of the integration of energy importation / exportation and energy purchases from IPPs
  • Establishment of a technical comparative analysis of generation scenario
  • Facilitate the integration of renewable energies, a solution to compensate intermittencies
  • Reduce load shedding, a fast and reliable solution to cope with the accidental shutdown of a power plant
  • Contribute to security of supply, a solution to maintain supply / demand balance during the dry season
  • Analysis of the impact of failures on the national system
  • Evaluation of risk scenarios and planning of maintenance and mitigation measures

Economic and financial analysis

  • Reduce the electricity bill for consumers, a solution to optimize energy generation
  • Establishment of an economic comparative analysis of generation scenario
  • Development of a summary evaluation of the environmental impact costs (CO2 emission, energy mix, renewable share ...)
  • Marginal cost studies and assistance for tariff study
  • Cost of failures

Through its completely modernized and user-friendly interface, GAP offers new opportunities to build and compare generation scenarios and ultimately meet the new requirements of optimizing generation facilities, taking into account national policies related to energy transition and climate change.

GAP offers an immediate return on investment, in particular by optimizing investment programming and low-cost energy placement in order to minimize the cost of supplying the country with electricity within the acceptable limits of reliability


GAP1Graphical User Interface
Most data and results are represented in a graphical form to better interpret them. The user interface is especially designed to offer very simple, friendly and efficient analysis and planning procedures.

Calculation modules
Capabilities, such as multi-tasking and threads have been used to build real multi-processing applications, allowing to make complex but extremely fast calculations.

Study and Scenario managers
The study and scenario manager allows to easily create and maintain data and results of several system scenarios (hypothesis, or cases study), using a hierarchical scenario architecture and the “inheritance” principle. Inheritance means that, if some data is not defined in a scenario, its value equals the value defined in its parent scenario, making the management of data easy in studies concerning a large number of hypotheses.

Stochastic simulation of the productionGAP2
The core of the GAP is a stochastic Production Simulation programme designed for computing the yearly production cost and system reliability of a power generation system. This calculation module is called PROSIM.
The method is stochastic because it conceptualizes the random aspect of the energy demand and considers the reliability of the units park. It uses direct calculations based on probability distributions to produce the expected values of the main variables of interest: the energy produced by each unit, the operating cost, reliability of the generation system, and marginal production costs.
Individual loading probabilities for each unit can also be obtained. The uncertainty on hydro generation capabilities (natural water inflows) and on the fuel costs is modelled by repeated runs of PROSIM and sensitivity analysis using study scenarios.

 Find more information on the IED SOLUTIONS website