Generation Control Simulation

In order to fully optimize its generation control software, PCE has developed a state-of-the-art simulator specifically for modeling the automatic generation control process. The PCE Simulator is also extremely useful for evaluating the impact of possible system changes that may affect the generation control process.

Why are PCE simulations so useful for performing studies?

PCE Simulator is able to closely replicate historical scenarios, for any time period of interest for which recorded data is available. These scenarios can then be adjusted and modified to isolate and explore the factors of interest. PCE Simulator can model operation both in BAs and market environments, where it measures the impact on settlement.

Examples of simulation studies:

• Plant upgrade impact. PCE can evaluate the system-wide economic and reliability impact of altering a plant's capabilities (e.g. expanding high or low limits, increasing ramp rate, making the plant more efficient), relative to experienced capabilities in actual operation.
• Offer change impact. PCE can evaluate the effect of changing how a unit is offered into the MISO market. Such a study would cover both the real-time changes to dispatch and unit control, and the expected impacts on different settlement categories.
• Control parameter tuning impact. PCE can evaluate changing certain tunable control parameters. For example, PCE's PGC generation control software is configured to operate within a certain target range of CPS1 scores, adjusting control automatically based on experienced scores. PCE can study the reliability and/or economic benefits of altering the target CPS1 range. Nearly any parameter that affects the generation control process can be isolated and tuned in this fashion.
• Addition of controllable batteries or renewables. Many of PCE's clients are either exploring new renewable and energy storage technologies, or looking to dramatically increase their use of existing technologies within their generation portfolio. In either case, PCE can model new units in its simulation and adjust resource mixes based on commitment and planning data provided by the client, to assess the impacts on system economics and reliability.




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