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Optimal unit commitment accounting for robust affine reserve policies

机译:最佳单位承诺核算富裕赠送储备政策

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We describe a new approach to robust unit commitment for an electricity network, which couples the switching decisions to a set of time-coupled redispatch rules in order to minimize the expected cost of operation over a planning horizon. We assume bounded uncertainties arising from imperfect predictions of loads and intermittent renewable infeeds. We refer to the time-coupled redispatch rules as affine reserve policies, and they apply not only to generators but to other continuously-controllable devices such as energy storage units or demand response installations, which are modelled as generic mixed logical-dynamical systems. We use a lumped-parameter example to demonstrate that unit commitment decisions coupled with affine reserve policies can reduce the number of time periods in which expensive peaking plants need to be employed, and that the effect is present for a wide range of parameter values. An important benefit is that the approach allows the uncertainty of future energy storage levels to be managed more tightly than existing formulations would allow.
机译:我们描述了一种新方法来实现电力网络的强大单位承诺,这将切换决策耦合到一组时间耦合的重新分类规则,以便在规划地平线上最小化预期的操作成本。我们假设来自负载的不完美预测和间歇性可再生进给的有界不确定性。我们将时间耦合的Redispatch规则称为仿射储备策略,而且它们不仅适用于发电机,而且适用于其他可持续可控设备,例如能量存储单元或需求响应安装,它们被建模为通用混合逻辑动态系统。我们使用一个集合参数示例来证明与仿射储备政策耦合的单位承诺决策可以减少需要采用昂贵的峰值工厂的时间段的数量,并且效果存在于广泛的参数值。一个重要的好处是,该方法允许未来能量存储水平的不确定性比现有的配方更紧密地管理。

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