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首页> 外文期刊>Smart Grid, IEEE Transactions on >Scheduling Power Consumption With Price Uncertainty
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Scheduling Power Consumption With Price Uncertainty

机译：具有价格不确定性的功耗计划

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摘要

The problem of causally scheduling power consumption to minimize the expected cost at the consumer side is considered. The price of electricity is assumed to be time-varying. The scheduler has access to past and current prices, but only statistical knowledge about future prices, which it uses to make an optimal decision in each time period. The scheduling problem is naturally cast as a Markov decision process. Algorithms to find decision thresholds for both noninterruptible and interruptible loads under a deadline constraint are then developed. Numerical results suggest that incorporating the statistical knowledge into the scheduling policies can result in significant savings, especially for short tasks. It is demonstrated with real price data from Commonwealth Edison that scheduling with mismatched modeling and online parameter estimation can still provide significant economic advantages to consumers.
机译：考虑了因果安排功耗以最小化用户方预期成本的问题。假定电价随时间变化。调度程序可以访问过去和当前价格，但只能访问有关未来价格的统计知识，它可以用来在每个时间段内做出最佳决策。调度问题自然被视为马尔可夫决策过程。然后开发了在截止期限约束下找到不间断负荷和可间断负荷的决策阈值的算法。数值结果表明，将统计知识纳入调度策略可以节省大量资金，尤其是对于短期任务。英联邦爱迪生公司的实际价格数据表明，具有不匹配建模和在线参数估计的调度仍可以为消费者提供显着的经济优势。

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