An explicit price formation mechanism derived from frequency measurements acts as a distributed PID-like controller that drives and remunerates generator frequency response using only local measurements.
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UNVERDICTED 2representative citing papers
Bayesian neural posterior estimation recovers marginal generation costs from market schedules with credible intervals but shows start-up costs are largely unidentifiable from schedules alone.
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Online Electricity Pricing from Frequency Measurements
An explicit price formation mechanism derived from frequency measurements acts as a distributed PID-like controller that drives and remunerates generator frequency response using only local measurements.
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Bayesian Inference for Estimating Generation Costs in Electricity Markets
Bayesian neural posterior estimation recovers marginal generation costs from market schedules with credible intervals but shows start-up costs are largely unidentifiable from schedules alone.