Review and comparison of genetic algorithm and particle swarm optimization in the optimal power flow problem
G Papazoglou, P Biskas - Energies, 2023 - mdpi.com
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 …
[HTML][HTML] Solution of optimal reactive power dispatch with FACTS devices: A survey
With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …
operate nearly at its full capacity which result in heavily stressed power grid operation …
Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
M Abdel-Basset, D El-Shahat, M Jameel… - Artificial Intelligence …, 2023 - Springer
Numerous optimization problems can be addressed using metaheuristics instead of
deterministic and heuristic approaches. This study proposes a novel population-based …
deterministic and heuristic approaches. This study proposes a novel population-based …
[HTML][HTML] Analysis of renewable-friendly smart grid technologies for the distributed energy investment projects using a hybrid picture fuzzy rough decision-making …
Smart grid systems help increase RWJ projects (RWJ) so that environmentally friendly
energy production can be generated. However, efficient technologies should be …
energy production can be generated. However, efficient technologies should be …
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 …
Design of new fractional order PI–fractional order PD cascade controller through dragonfly search algorithm for advanced load frequency control of power systems
E Çelik - Soft Computing, 2021 - Springer
Owing to integrating the dense range of distinct electric power sources, high volume of
power generation units, abrupt and continuous changes in load demand, and rising …
power generation units, abrupt and continuous changes in load demand, and rising …
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 …
Assessing the financial impact and mitigation methods for voltage sag in power grid
Voltage sags, as defined by the IEEE Standard, refer to sudden drops in voltage magnitude
that last for a duration greater than 0.5 cycles of the power frequency but less than or equal …
that last for a duration greater than 0.5 cycles of the power frequency but less than or equal …
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy …
One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
Hybridizing of whale and moth-flame optimization algorithms to solve diverse scales of optimal power flow problem
The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …
characteristics such as a large number of control parameters and also multi-modal and non …