"An Extreme Learning Machine Based Adaptive VISMA for Stability Enhance" by Herlambang Setiadi, Rakibuzzaman Shah et al.
Maintaining power system stability in renewable-rich power systems can be a challenging task. Generally, the renewable-rich power systems suffer from low and no inertia due to the integration of power electronics devices in renewable-based power plants. Power system oscillatory stability can also be affected due to the low and no inertia. To overcome this problem, additional devices that can emulate inertia without adding synchronous machines can be used. These devices are referred to as virtual synchronous machines (VISMA). In this paper, the enhancement of oscillatory stability of a realisti...
Source: uow.edu.au