[HTML][HTML] Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm
The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient
distribution of power among generating units while considering various constraints, such as …
distribution of power among generating units while considering various constraints, such as …
[HTML][HTML] Novel heuristic optimization technique to solve economic load dispatch and economic emission load dispatch problems
The fundamental objective of economic load dispatch is to operate the available generating
units such that the needed load demand satisfies the lowest generation cost and also …
units such that the needed load demand satisfies the lowest generation cost and also …
[HTML][HTML] Performance of osprey optimization algorithm for solving economic load dispatch problem
The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …
[HTML][HTML] The role of international research collaboration and faculty related factors in publication citations: Evidence from Lebanon
The importance of international collaboration in the research field is well-documented, but its
impact on the number of citations received by research publications is not fully understood …
impact on the number of citations received by research publications is not fully understood …
Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization
Abstract The Crow Search Algorithm (CSA) is a swarm-based metaheuristic algorithm that
simulates the intelligent foraging behaviors of crows. While CSA effectively handles global …
simulates the intelligent foraging behaviors of crows. While CSA effectively handles global …
Distributed intelligence for consensus-based frequency control of multi-microgrid network with energy storage system
Abstract Multi-Microgrids (MMGs) provide a highly promising approach for accommodating
diverse distributed energy resources and improving the overall system performance. This …
diverse distributed energy resources and improving the overall system performance. This …
[HTML][HTML] A new pso technique used for the optimization of multiobjective economic emission dispatch
Most power is generated using fossil fuels like coal, natural gas, and diesel. The contribution
of coal to power generation is very high compared to other sources. Almost all thermal …
of coal to power generation is very high compared to other sources. Almost all thermal …
[HTML][HTML] Developing artificial hummingbird algorithm with linear controlling strategy and diversified territorial foraging tactics for combined heat and power dispatch
Abstract Economic Dispatch (ED) in Combined Heat and Power Systems (CHPSs) is critical
for optimising fuel costs while managing Power-Only (PO), CHP, and Heat-Only (HO) …
for optimising fuel costs while managing Power-Only (PO), CHP, and Heat-Only (HO) …
Performance of snow ablation optimization for solving optimum allocation of generator units
The snow ablation optimization (SAO) is a new metaheuristic motivated by the melting and
sublimation properties of snow. In this work, the economic load dispatch (ELD) problem, one …
sublimation properties of snow. In this work, the economic load dispatch (ELD) problem, one …
An intelligent quasi-oppositional HBO technique to solve non-smooth non-convex economic dispatch problem
In this paper, a modified heap-based optimization (HBO) known as the quasi-oppositional
heap-based optimization (QOHBO) method is endeavored to tackle the challenging problem …
heap-based optimization (QOHBO) method is endeavored to tackle the challenging problem …