Load modeling has significant impact on power system studies. This paper presents a
review on load modeling and identification techniques. Load models can be classified into …

Originally, ancillary services (ASs) were provided by large-scale power plants to ensure the
secure and reliable operation of power systems. However, with the advent of renewable …

A global parameter estimation method for a permanent magnet synchronous machines
(PMSM) drive system is proposed, where the electrical parameters, mechanical parameters …

A dynamic particle swarm optimization with learning strategy (DPSO-LS) is proposed for key
parameter estimation for permanent magnet synchronous machines (PMSMs), where the …

The higher variability introduced by distributed generation leads to fast changes in the
aggregate load composition, and thus in the power response during voltage variations. The …

Accurate load modeling is essential for power system stability analysis and control. This
topic has regained interest, due to the high penetration of new types of loads and the …

We consider the problem of using wireless sensor networks (WSNs) to measure the
temporal-spatial field of some scalar physical quantities. Our goal is to obtain a sufficiently …

Fast and accurate load parameter identification has a large impact on power systems
operation and stability analysis. This article proposes a novel Imitation and Transfer Q …

With the rapid development of IoT, the disadvantages of Cloud framework have been
exposed, such as high latency, network congestion, and low reliability. Therefore, the Fog …

With an ever growing complexity, the power grids are designed and operated with an
increasingly reduced stability margin. Under such circumstances, the adequate modeling of …