Review and comparison of genetic algorithm and particle swarm optimization in the optimal power flow problem
Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …
A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources.
The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …
which have limited fuel for power generation, while emissions from the network system are …
Solving nonlinear equation systems based on evolutionary multitasking with neighborhood-based speciation differential evolution
Q Gu, S Li, Z Liao - Expert Systems with Applications, 2024 - Elsevier
Locating multiple roots of nonlinear equation systems (NESs) remains a challenging and
meaningful task in the numerical optimization community. Although a large number of NES …
meaningful task in the numerical optimization community. Although a large number of NES …
Fuzzy robust flexible programming with Me measure for electric sustainable supply chain
Electricity as a source of energy, is one of the most essential part in our life. In recent time, it
is noted that the temperature of earth increases in compare to the previous years. It is …
is noted that the temperature of earth increases in compare to the previous years. It is …
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance …
With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …
energy demands on modern electricity grids are also rising. In order to meet these demands …
Enhanced coati optimization algorithm-based optimal power flow including renewable energy uncertainties and electric vehicles
Power systems now face new issues due to incorporating electric vehicles (EVs) and
renewable energy resources (RERs). This paper proposes a novel Enhanced Coati …
renewable energy resources (RERs). This paper proposes a novel Enhanced Coati …
[HTML][HTML] A multi-objective thermal exchange optimization model for solving optimal power flow problems in hybrid power systems
This study addresses the challenges associated with optimal power flow (OPF) management
in hybrid power systems incorporating diverse energy sources, particularly focusing on the …
in hybrid power systems incorporating diverse energy sources, particularly focusing on the …
Flow direction algorithm-based optimal power flow analysis in the presence of stochastic renewable energy sources
In recent years, power systems have expanded significantly, especially with the
incorporation of various renewable energy sources (RESs). The optimal operation of the …
incorporation of various renewable energy sources (RESs). The optimal operation of the …
Unified space approach-based Dynamic Switched Crowding (DSC): a new method for designing Pareto-based multi/many-objective algorithms
This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
Abstract The Optimal Power Flow (OPF) is a primary tool in planning and installing power
systems. It attempts to minimize the operating costs associated with generating and …
systems. It attempts to minimize the operating costs associated with generating and …