Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
The role of inertia for grid flexibility under high penetration of variable renewables-A review of challenges and solutions
Several studies show that grid-integrated renewable energy (RE) sources have the potential
to replace conventional synchronous generators in the network. This means the grid will …
to replace conventional synchronous generators in the network. This means the grid will …
A novel hybrid harris hawks optimization for color image multilevel thresholding segmentation
Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …
applications. However, the implementation becomes more and more complex and time …
Virtual inertia-based inverters for mitigating frequency instability in grid-connected renewable energy system: A review
This study paper presents a comprehensive review of virtual inertia (VI)-based inverters in
modern power systems. The transition from the synchronous generator (SG)-based …
modern power systems. The transition from the synchronous generator (SG)-based …
Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering different uncertainties including …
The increasing penetration of solar distributed generations (SDGs) and wind distributed
generations (WDGs) together with plug-in electric vehicles (PEVs) will lead to a promising …
generations (WDGs) together with plug-in electric vehicles (PEVs) will lead to a promising …
Hyperparameter learning for deep learning-based recommender systems
Deep learning (DL)-based recommender system (RS), particularly for its advances in the
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
Adaptive synthetic inertia control framework for distributed energy resources in low-inertia microgrid
Bulk integration of Distributed Energy Resources (DERs) into the power grids reduces the
system's inherent inertial response. The reduced inertial response causes a high Rate-of …
system's inherent inertial response. The reduced inertial response causes a high Rate-of …
[HTML][HTML] Comprehensive evaluation of energy storage systems for inertia emulation and frequency regulation improvement
D Niu, J Fang, W Yau, SM Goetz - Energy Reports, 2023 - Elsevier
Electric power systems foresee challenges in stability, especially at low inertia, due to the
strong penetration of various renewable power sources. The value of energy storage system …
strong penetration of various renewable power sources. The value of energy storage system …
Grid integration of solar photovoltaic system using machine learning-based virtual inertia synthetization in synchronverter
In recent years, the domination of power electronics-interfaced renewable energy source
(RES) such as solar photovoltaic (PV) system causes grid frequency instability issue. This …
(RES) such as solar photovoltaic (PV) system causes grid frequency instability issue. This …
Grid-forming converter and stability aspects of renewable-based low-inertia power networks: Modern trends and challenges
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 …
been well documented. Following this, the idea of GFM was assessed for its potential use in …