|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|6478740||1428099||2017||16 صفحه PDF||سفارش دهید||دانلود رایگان|
- Quality and accuracy of traditional-energy- and power-based UCs are evaluated.
- Real-time performance evaluation simulating “perfect” stochastic UCs.
- Ideal energy-based stochastic UC formulations impose hidden system inflexibilities.
- A deterministic power-based UC may outperform an ideal energy-based stochastic UC.
- Power-based UC overcomes flaws of energy-based UC: lower cost and wind curtailment.
Approximations made in traditional day-ahead unit commitment model formulations can result in suboptimal or even infeasible schedules for slow-start units and inaccurate predictions of actual costs and wind curtailment. With increasing wind penetration, these errors will become economically more significant. Here, we consider inaccuracies from three approximations: the use of hourly intervals in which energy production from each generator is modeled as being constant; the disregarding of startup and shutdown energy trajectories; and optimization based on expected wind profiles. The results of unit commitment formulations with those assumptions are compared to models that: (1) use a piecewise-linear power profiles of generation, load and wind, instead of the traditional stepwise energy profiles; (2) consider startup/shutdown trajectories; and (3) include many possible wind trajectories in a stochastic framework. The day-ahead hourly schedules of slow-start generators are then evaluated against actual wind and load profiles using a model real-time dispatch and quick-start unit commitment with a 5Â min time step. We find that each simplification usually causes expected generation costs to increase by several percentage points, and results in significant understatement of expected wind curtailment and, in some cases, load interruptions. The inclusion of startup and shutdown trajectories often yielded the largest improvements in schedule performance.
Journal: Applied Energy - Volume 191, 1 April 2017, Pages 223-238