Due to increasing complexity, uncertainty and data dimensions in power systems,
conventional methods often meet bottlenecks when attempting to solve decision and control …

In this study, a novel computational paradigm based on Morlet wavelet neural network
(MWNN) optimized with integrated strength of genetic algorithm (GAs) and Interior-point …

The broad demonstration of grid-forming converters (GFMs) in microgrid applications has
been well documented. Following this, the idea of GFM was assessed for its potential use in …

In this chapter, deep reinforcement learning (DRL) and its applications in power systems
have been discussed. Besides the DRL and its role in power systems, an example has been …

This paper introduces an innovative approach for determining the dynamic stability margin
of a power system. The method employs a Genetic Algorithm (GA) to optimize the …

The high penetration of distributed energy resources (DERs) introduces several challenges
to the power network. They may cause a high level of voltage variation, sudden over/under …

To maintain power balance, changes must be made on both the demand and supply sides.
The power system's operating point will be less predictable as a result of these adjustments …