Load models have been widely studied, mostly focusing on the model structure or on the
parameter derivation. However, there are few studies investigating the effect of load …

This paper explores the use of a new technique, the probabilistic collocation method (PCM),
to enable the evaluation of uncertainty in power system simulations. The PCM allows the …

This paper addressed some theoretical and practical issues relevant to the problem of
power system load modeling and identification. Two identification techniques are developed …

Parameter identification is the key technology in measurement-based load modeling. A
hybrid learning algorithm is proposed to identify parameters for the aggregate load model …

The paper presents dynamic load model parameters obtained from measurements on
medium voltage (10kV) bus. Over 100 measurements are performed on secondary side of …

In this paper, a distributed framework is established to evaluate and improve the small-
disturbance stability of a microgrid with inverter-based distributed generators (DGs). First, we …

In this paper, the concept of dynamic locational flexibility of a power system is introduced. A
quantitative dynamic flexibility index is proposed, which reflects the effect of changing bus …

Many uncertainties exist in power systems and they will affect the stability analysis results.
Voltage stability considering uncertainty in load parameters will be discussed. With the …

This paper proposes a local model network (LMN) for measurement-based modeling of the
nonlinear aggregate power system loads. The proposed LMN approach requires no pre …

Power system loads have been proven to have a significant influence on power system
stability, and their accurate modelling is essential for reliable assessment of dynamic system …