论文标题
用于调节随机负载需求的DC网络的消极属性
Passivity properties for regulation of DC networks with stochastic load demand
论文作者
论文摘要
在本文中，我们介绍了直接电流（DC）功率网络的新（随机）消极性能，其中未知和不可预测的负载需求是由随机过程建模的。更确切地说，所考虑的电源网络由提供拉链负载的分布式生成单元，即由阻抗（Z），电流（I）和功率（P）组件组成的非线性负载。与文献中的大多数结果不同，这些成分中的每一个都是恒定的，我们考虑了随时间变化的载荷，其动力学由一类随机微分方程描述。最后，我们证明，现有的分布式控制方案可实现电流共享和（平均）电压调节确保受控网络的渐近随机稳定性。
In this paper we present new (stochastic) passivity properties for Direct Current (DC) power networks, where the unknown and unpredictable load demand is modelled by a stochastic process. More precisely, the considered power network consists of distributed generation units supplying ZIP loads, i.e., nonlinear loads comprised of impedance (Z), current (I) and power (P) components. Differently from the majority of the results in the literature, where each of these components is assumed to be constant, we consider time-varying loads whose dynamics are described by a class of stochastic differential equations. Finally, we prove that an existing distributed control scheme achieving current sharing and (average) voltage regulation ensures the asymptotic stochastic stability of the controlled network.
