A validation process for probablistic production costing programs (for electric utilities)

J. K. Delson, X. Feng, W. Smith
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引用次数: 3

Abstract

The chronological simulation program BENCHMARK can be used in a Monte Carlo mode to produce approximate production cost distributions. An exhaustive enumeration experiment can be conducted to measure their accuracy. An example is given for a power system with seven thermal units. Three price scenarios were included on the cost of replacement power for generation shortfalls. Chronological simulation programs such as BENCHMARK can also be calibrated when used in the deterministic mode to match system operating policy. The Monte Carlo procedure can then be used to validate production costing results for large systems with some assurance. Cumulative probability distribution curves produced in this process present useful information for decision making.<>
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概率生产成本计算程序的验证过程(电力公用事业)
时间顺序模拟程序BENCHMARK可以在蒙特卡罗模式下使用,以产生近似的生产成本分布。可以进行穷举实验来衡量它们的准确性。给出了一个有七个热电机组的电力系统的算例。发电不足时的替代电力成本包括三种价格情景。在确定性模式下使用时,还可以对诸如BENCHMARK之类的时序模拟程序进行校准,以匹配系统操作策略。蒙特卡罗程序可以在一定程度上用于验证大型系统的生产成本计算结果。在此过程中产生的累积概率分布曲线为决策提供了有用的信息。
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