论文标题
使用测量值估算的灵敏度系数在主动分布网络中无模型的稳健电压控制
Model-less Robust Voltage Control in Active Distribution Networks using Sensitivity Coefficients Estimated from Measurements
论文作者
论文摘要
富含测量的功率分配网络可以使分配系统运营商（DSO）采用基于模型和基于测量的分布式能源资源（DER）的监视和控制，以减轻网格问题，例如电压和线路 - 电压和线路拥塞。但是，基于测量的监视和控制应用可能会导致由于测量错误而导致的控制决策。特别是，依靠基于回归方案的估计模型会导致估计值（例如节点电压）的重大错误，尤其是对于具有高仪器变压器（IT）类别的测量设备。后果不利于控制性能，因为这可能会导致不可行的决策。这项工作提出了一个无模型的稳健电压控制，以计算基于测量的估计电压灵敏度系数的不确定性。系数及其不确定性是使用基于递归的最小二乘（RLS）的在线估计获得的，每当有新的测量时进行更新。该公式应用于分配网络中的控制分布式可控光伏（PV）生成，以限制规定限制内的电压。通过模拟CIGRE低压系统将多个可控的PV植物接口来验证所提出的方案。
Measurement-rich power distribution networks may enable distribution system operators (DSOs) to adopt model-less and measurement-based monitoring and control of distributed energy resources (DERs) for mitigating grid issues such as over/under voltages and lines congestions. However, measurement-based monitoring and control applications may lead to inaccurate control decisions due to measurement errors. In particular, estimation models relying on regression-based schemes result in significant errors in the estimates (e.g., nodal voltages) especially for measurement devices with high Instrument Transformer (IT) classes. The consequences are detrimental to control performance since this may lead to infeasible decisions. This work proposes a model-less robust voltage control accounting for the uncertainties of measurement-based estimated voltage sensitivity coefficients. The coefficients and their uncertainties are obtained using a recursive least squares (RLS)-based online estimation, updated whenever new measurements are available. This formulation is applied to control distributed controllable photovoltaic (PV) generation in a distribution network to restrict the voltage within prescribed limits. The proposed scheme is validated by simulating a CIGRE low-voltage system interfacing multiple controllable PV plants.
