论文标题
随机动态载荷模型的顺序贝叶斯参数估计
Sequential Bayesian Parameter Estimation of Stochastic Dynamic Load Models
论文作者
论文摘要
在本文中,我们关注具有随机术语的动态负载模型的参数估计,特别是在保护设置不确定的负载模型,例如在汇总的空调单元中。我们展示了如何将汇总保护特性中的不确定性提出为具有过程噪声的随机微分方程。我们在贝叶斯参数估计框架内施放参数反演,并提出包括过程噪声的方法。我们证明了在参数估计中考虑随机性的好处及其忽略的风险。
In this paper we focus on the parameter estimation of dynamic load models with stochastic terms, in particular, load models where protection settings are uncertain, such as in aggregated air conditioning units. We show how the uncertainty in the aggregated protection characteristics can be formulated as a stochastic differential equation with process noise. We cast the parameter inversion within a Bayesian parameter estimation framework, and we present methods to include process noise. We demonstrate the benefits of considering stochasticity in the parameter estimation and the risks of ignoring it.