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Time and voltage domain load models for appliance-level grid edge simulation and control

机译:用于设备级网格边缘仿真和控制的时间和电压域负载模型

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摘要

Developments in simulation and distributed control of distributed energy resources require increasingly granular characterization and modeling of load behavior. Previous work has demonstrated the viability of voltage-based power control of residential appliances to enable load flexibility without service interruption. However, conventional static and dynamic load models fail to capture the coupled voltage and state dynamics relevant for this type of control.We develop a new class of dynamic load models for residential appliances. The input-output dynamics are learned by varying input voltage, which is enabled by custom hardware capable of controlling single-phase AC voltage and collecting high-resolution measurements. We estimate model parameters using nonlinear least squares regression and particle swarm optimization. The RMSE of power predictions is significantly reduced for loads with coupled time and voltage dynamics relative to traditional models. Using these models for voltage based power control can help improve the ability of DERs to provide grid services.
机译:分布能源的仿真和分布式控制的发展需要越来越粒度的表征和负载行为的建模。以前的工作证明了住宅设备的基于电压的功率控制的可行性,使得在没有服务中断的情况下实现负载灵活性。然而,传统的静态和动态负载模型无法捕获与此类控制相关的耦合电压和状态动态。我们为住宅设备开发了新的动态负载模型。通过改变输入电压来学习输入 - 输出动态,该输入电压由能够控制单相交流电压并收集高分辨率测量的自定义硬件。我们使用非线性最小二乘回归和粒子群优化来估计模型参数。对于具有相对于传统模型的耦合时间和电压动力学的负载,功率预测的RMSE显着降低。使用这些模型用于基于电压的功率控制可以帮助提高DER提供网格服务的能力。

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