Assess system adequacy with Monte Carlo simulations

The Multi-Area Reliability Simulation (MARS) engine enables electric utility planners to more quickly and accurately assess the ability of a power system, comprised of a number of interconnected areas, to help adequately satisfy customer load requirements. Based on a full sequential Monte Carlo simulation, MARS performs a chronological hourly simulation of the system, comparing the hourly load demand in each area to the total available generation in the area, which has been adjusted to account for planned maintenance and randomly occurring forced outages. This reliability analysis software will analyze the areas with excess capacity and will provide emergency assistance to deficient areas, subject to transfer limits between the areas.

MARS software applications

Conduct probabilistic power and reliability assessments of generation capacity adequacy, such as NERC PROB-A, to ensure system reliability and potential risks.
More accurately assess the impact of variable renewable generation, additional transmission lines, and energy storage.
Perform calculations such as equivalent load carrying capacity to better meet resource adequacy demands.
Assess reliability of power supply in meeting energy demand.
Determine the need for implementing emergency operating procedures down to hours/year to help avoid system failures.
An inside look at MARS

How the MARS API and GUI streamline your project workflow

MARS comes with a user interface (GUI) and Python application programming interface (API) that greatly improve the user experience. 


The UI provides several features including:

  • Easy-to-use, structured file handling for all your cases
  • Special-designed text editor with documentation to make input table handling easier
  • Create and save input and output tables using .csv and .xlsx formats.
  • Intuitive calculation management
  • Professional-quality report creation

The API allows Python users even more power, including:

  • Automated postprocessing calculations and report generation
  • Prepare and run calculations on a local or remote computer.
  • Create inputs from any data source that can be handled in Python.
  • Planning the energy transition with Consulting Services software
  • Planning software for the energy transition
  • Planning for uncertainty: the value of stochastics
On-demand webinar

Planning the energy transition with Consulting Services software

The energy transition from fossil fuels to zero- or low-carbon electricity generation requires major technology advances, higher renewable penetration, and widespread deployment of storage. Cutting-edge software tools, such as those available from Consulting Services, are needed to plan the necessary changes to grid infrastructure and electricity segments while helping to ensure reliable and economic delivery.

On-demand webinar

Planning software for the energy transition

Join our webinar and On-Demand session with software engineers and power systems experts from Consulting Services to learn more about MAPS, MARS and PSLF software tools which are being used throughout the world, and by various organizations throughout Asia to help plan for the future of energy.

On-demand webinar

Planning for uncertainty: the value of stochastics

With the present uncertainty in future policy goals, technology advancements, decarbonization, electrification, and various other factors, planning practices need to evolve. Techniques exist to account for these uncertainties and should be used to develop more robust and adaptable plans which are prepared to handle the unpredictability of the future grid.

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