Review of metaheuristic optimization algorithms for power systems problems
Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …
used to solve complicated optimization issues. These algorithms are intended to locate or …
Optimal power flow solutions incorporating stochastic wind and solar power
Generations from several sources in an electrical network are to be optimally scheduled for
economical and efficient operation of the network. Optimal power flow problem is formulated …
economical and efficient operation of the network. Optimal power flow problem is formulated …
Optimization of optimal power flow problem using multi-objective manta ray foraging optimizer
Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …
poses significant challenges. Moreover, in such problems, the level of complexity may …
Optimal power flow solution in power systems using a novel Sine-Cosine algorithm
This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …
Optimal power flow using moth swarm algorithm
AAA Mohamed, YS Mohamed, AAM El-Gaafary… - Electric Power Systems …, 2017 - Elsevier
This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …
An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field
Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
Multi-objective optimal power flow with stochastic wind and solar power
The classical optimal power flow problem is usually formulated with only thermal generators,
in which the fuel used to generate power is limited and emissions from the network system …
in which the fuel used to generate power is limited and emissions from the network system …
A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …
that have proven its capability in solving challenging engineering tasks. Owing to the non …
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques
Optimal power flow (OPF) is a highly non-linear complex optimization problem where the
steady state parameters of an electrical network need to be determined for its economical …
steady state parameters of an electrical network need to be determined for its economical …
A novel hybrid self-adaptive heuristic algorithm to handle single-and multi-objective optimal power flow problems
The optimal power flow (OPF) is a key tool in the planning and operation of power systems,
and aims to optimize the operational costs involved in the production and transport of energy …
and aims to optimize the operational costs involved in the production and transport of energy …