Resource Adequacy Analysis
PowerSimm RATM provides system operators and resource planners with the information they need to determine whether resource portfolios will reliably serve peak load under the full range of possible weather conditions. Using stochastically simulated weather, PowerSimm RATM captures the nuanced relationship between weather, renewables, generation outages, and load to quickly calculate resource adequacy metrics, including loss of load probability, MW short, expected unserved energy, and renewable capacity credit.
Get the insight you need to make the right decisions.
PowerSimm RA™ enables planners and grid operators to make the best-informed resource adequacy decisions by accounting for the uncertainty in weather and generation outages.
Features of PowerSimm RATM
Determines impact of extreme weather on resource adequacy and renewable capacity credit
Account for joint relationship of weather on load and renewable generation
Calculates resource adequacy: loss of load probability (LOLP), MW short, unserved energy, and required reserve margin
Detailed simulation of thermal generation outages
PowerSimm RATM Modeling Features
As renewables become increasingly integrated into power systems, planners need to understand how weather drives both load and generation and what that mean for resource adequacy. PowerSimm RA™ realistically simulates weather, renewable generation, load, and the unpredictable nature of generation outages to characterize resource adequacy under real-life conditions.
PowerSimm RA™ is a stand-alone software application that focuses specifically on calculating resource adequacy metrics such as loss-of-load probability (LOLP) and loss-of-load expectation (LOLE) to guide decisions on resource capacity needs. For example, the table on the left is a PowerSimm RA™ output that tells planners how much additional firm capacity is needed to achieve an acceptable LOLH or reserve margin.
PowerSimm RA™ can also calculate how much renewables can be relied on to meet peak demand under realistic simulated weather conditions (such as long stretches of low wind or cloudy days) versus simply average weather conditions and output. The graphic below shows an example PowerSimm RA™ chart demonstrating renewable contribution to resource adequacy requirements.
Better models. Better decisions.
Ascend Analytics software uses open code analytics to deliver maximum flexibility to our clients. Our integrated job management systems allow users to include proprietary analytic models into the process flow. Clients can also change or add analytic variables to meet their specific needs. Ascend software delivers maximum flexibility inside a powerful and secure production environment. PowerCubeTM provides business intelligence reports and data visualization.
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We provide expert support to guide customers through enhanced decision analysis with the practical insights of having "been there and done that". Our expertise ranges from basic application support to enhancing decision analysis with risk to expert testimony and reports. Our staff can also augment your team as "peaking resources".
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