Resource Adequacy (formerly MARS) provides detailed system assessments to inform grid planners.
Assess system adequacy with Monte Carlo Simulations
The Resource Adequacy module of PlanOS* 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, Resource Adequacy 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. Areas with excess capacity will provide emergency assistance to deficient areas, subject to transfer limits between the areas.
Full Sequential Monte Carlo. Simulation that goes beyond loss of load expectation and expected unserved energy.
Evaluate risk. Model emergency operating procedures and their effect on generation capacity adequacy.
Industry-backed best practices. Simulate renewable generation while preserving load correlation.
Storage. Updated energy storage modeling for pumped hydro and battery energy.
Beyond LOLE and EUE. Gather insights into the duration, frequency, and causes of events with chronological system simulations.
High-performance computing. Resource Adequacy supports task parallelization to reduce time requirements for a single study.
Pre-made datasets. Access ready-to-use datasets available for license for faster model creation.
Transfer analysis. Simplify transmission topology using emergency transfer limits developed, constrain the power flow between major load areas of your system.
Resource Adequacy benefits
1
Conduct probabilistic power and reliability assessments of generation capacity adequacy, such as NERC PROB-A, to help ensure system reliability and mitigate potential risks.
2
Established best practices for modeling renewable generation. Resource Adequacy supports unlimited years of renewable generation data while preserving correlation to load.
3
Perform calculations such as equivalent load carrying capacity to better meet resource adequacy demands.
4
Assess reliability of power supply in meeting energy demand.
5
Determine the need for implementing emergency operating procedures down to hours/year to help avoid system failures.
An integrated experience
Unleashing the robust algorithmic capabilities of our decades-proven and industry-leading modules
Experience end-to-end grid planning with a unified dataset and a native, simplified infrastructure by leveraging capabilities of the PlanOS modules formerly known as PSLF, MARS, and MAPS.
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*Trademark of GE Vernova and/or its affiliates.
