Modeling and formulation of optimization problems for optimal scheduling of multi-generation and hybrid energy systems: Review and recommendations
S Liaquat, MF Zia, M Benbouzid - Electronics, 2021 - mdpi.com
Increasing power demands require multiple generating units interconnected with each other
to maintain the power balance of the system. This results in a highly dense power system …
to maintain the power balance of the system. This results in a highly dense power system …
A modified adaptive beluga whale optimization based on spiral search and elitist strategy for short-term hydrothermal scheduling
X Shen, Y Wu, L Li, T Zhang - Electric Power Systems Research, 2024 - Elsevier
Short-term hydrothermal scheduling is a complex dynamic nonlinear optimization problem
which considers various hydropower constraints. In this study, an adaptive beluga whale …
which considers various hydropower constraints. In this study, an adaptive beluga whale …
Cooperative networking strategy of UAV cluster for large-scale WSNs
Y Chen, H Liu, J Guo, Y Wang, F Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
To solve the shortcomings of wireless sensor networks (WSNs) in data collection in a wide
range, long distance, and other complex environments, such as high networking cost, short …
range, long distance, and other complex environments, such as high networking cost, short …
3 community microgrid energy scheduling based on the grey wolf optimization algorithm
The traditional electricity grids are the extensive networks consisting of massive fossil-fuel
power plants, large transmission and distribution lines, and energy consumers. Such …
power plants, large transmission and distribution lines, and energy consumers. Such …
Solution for short-term generation scheduling of cascaded hydrothermal system with turbulent water flow optimization
K Thirumal, VP Sakthivel, PD Sathya - Expert Systems with Applications, 2023 - Elsevier
For economic operation of hybrid power systems, short-term hydrothermal planning is a
significant operation which is focused to reduce the fuel costs of thermal power plants while …
significant operation which is focused to reduce the fuel costs of thermal power plants while …
Dragonfly algorithm-based optimization for selective harmonics elimination in cascaded H-bridge multilevel inverters with statistical comparison
Harmonics worsen the quality of electrical signals, hence, there is a need to eliminate them.
The test objects under discussion are single-phase versions of cascaded H-bridge (CHB) …
The test objects under discussion are single-phase versions of cascaded H-bridge (CHB) …
A chaotic chimp sine cosine algorithm for optimizing hydrothermal power scheduling
This study addresses the critical issue of optimizing the short-term hydrothermal scheduling
(STHTS) problem, which is a significant concern in the context of rising energy demands …
(STHTS) problem, which is a significant concern in the context of rising energy demands …
A novel radiality maintenance algorithm for the metaheuristic based co-optimization of network reconfiguration with battery storage
MA Iqbal, R Zafar - IEEE Access, 2023 - ieeexplore.ieee.org
Network reconfiguration (NR) is a well-accepted technique to decrease power losses and
enhance the voltage profile of the distribution network. The practical challenges in solving …
enhance the voltage profile of the distribution network. The practical challenges in solving …
Accelerated Particle Swarm Optimization Algorithms Coupled with Analysis of Variance for Intelligent Charging of Plug-in Hybrid Electric Vehicles
Plug-in hybrid electric vehicles (PHEVs) and plug-in electric vehicles (PEVs) have gained
enormous attention for their ability to reduce fuel consumption in transportation and are …
enormous attention for their ability to reduce fuel consumption in transportation and are …
A new fast deterministic economic dispatch method and statistical performance evaluation for the cascaded short-term hydrothermal scheduling problem
The Cascaded Short-Term Hydrothermal Scheduling (CSTHTS) problem is a highly non-
linear, multi-modal, non-convex, and NP-hard optimization problem that has been solved by …
linear, multi-modal, non-convex, and NP-hard optimization problem that has been solved by …