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Model predictive control for demand response aggregation management system with response delay time and uncertainty model

机译:具有响应延迟时间和不确定性模型的需求响应聚集管理系统的模型预测控制

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摘要

In the Smart Grid Technology, Demand Response (DR) scheme had attracted attentions as a new effective electricity supply-demand balance control method. The aim of this paper is to formulate DR aggregation management system with multiple electricity energy users as a control and optimization theory framework. Where, the demand response delay dynamics and stochastic uncertainty as behaviors in each energy user are included as the DR aggregation system model, to represent actual DR aggregation service management process in the electricity market mechanism. For the generalized formulation of the problem, the Model Predictive Optimization & Control scheme is introduced, where control performance, economical value with DR incentive, and also operational risk to fail DR target achievement are formulated. Some practical calculation procedure of dispatching DR command to each energy user as the DR aggregator is also shown.
机译:在智能电网技术中,需求响应(DR)方案作为一种有效的新的电力供需平衡控制方法受到了关注。本文的目的是建立一个具有多个电能用户的灾难恢复聚合管理系统,作为控制和优化理论框架。其中,需求响应延迟动态和随机不确定性(作为每个能源用户的行为)都包括在灾难恢复聚合系统模型中,以代表电力市场机制中的实际灾难恢复聚合服务管理过程。对于问题的广义表述,引入了模型预测优化与控制方案,其中制定了控制性能,具有DR激励的经济价值以及未能实现DR目标的操作风险。还显示了一些实际的计算过程,该过程将DR命令作为DR聚合器分发给每个能源用户。

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