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[HTML][HTML] Modern techniques for the optimal power flow problem: State of the art
BG Risi, F Riganti-Fulginei, A Laudani - Energies, 2022 - mdpi.com
Due to its significance in the operation of power systems, the optimal power flow (OPF)
problem has attracted increasing interest with the introduction of smart grids. Optimal power …
problem has attracted increasing interest with the introduction of smart grids. Optimal power …
A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
Optimal power flow (OPF) is one of the key tools for optimal operation and planning of
modern power systems. Due to the high complexity with continuous and discrete control …
modern power systems. Due to the high complexity with continuous and discrete control …
Optimal power flow using gravitational search algorithm
In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for
optimal power flow (OPF) problem in a power system. The proposed approach is applied to …
optimal power flow (OPF) problem in a power system. The proposed approach is applied to …
Optimal power flow for a deregulated power system using adaptive real coded biogeography-based optimization
AR Kumar, L Premalatha - International Journal of Electrical Power & …, 2015 - Elsevier
The optimization is an important role in the wide geographical distribution of electrical power
market, finding the optimum solution for the operation and design of power systems has …
market, finding the optimum solution for the operation and design of power systems has …
An improved teaching–learning-based optimization algorithm using Lévy mutation strategy for non-smooth optimal power flow
One of the major tools for power system operators is optimal power flow (OPF) which is an
important tool in both planning and operating stages, designed to optimize a certain …
important tool in both planning and operating stages, designed to optimize a certain …
A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions
M Ghasemi, S Ghavidel, S Rahmani, A Roosta… - … Applications of Artificial …, 2014 - Elsevier
One of the major tools for power system operators is optimal power flow (OPF) which is an
important tool in both planning and operating stages, designed to optimize a certain …
important tool in both planning and operating stages, designed to optimize a certain …
Applications of computational intelligence techniques for solving the revived optimal power flow problem
MR AlRashidi, ME El-Hawary - Electric Power Systems Research, 2009 - Elsevier
Computational intelligence tools are attracting added attention in different research areas
and research in power systems is not different. This paper provides an overview of major …
and research in power systems is not different. This paper provides an overview of major …
Particle swarm optimization with an aging leader and challengers algorithm for the solution of optimal power flow problem
RP Singh, V Mukherjee, SP Ghoshal - Applied Soft Computing, 2016 - Elsevier
Solution of optimal power flow (OPF) problem aims to optimize a selected objective function
such as fuel cost, active power loss, total voltage deviation (TVD) etc. via optimal adjustment …
such as fuel cost, active power loss, total voltage deviation (TVD) etc. via optimal adjustment …
Optimal power flow using recent optimization techniques
Optimal power flow solution gives the best secure operating point according to certain
objective functions and satisfying the operation constraints of the system. Different objective …
objective functions and satisfying the operation constraints of the system. Different objective …
Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer
Abstract Optimal Power Flow (OPF) is a complex and challenging problem in power system
that includes non-convex and non-linear constrained optimization problems. Due to these …
that includes non-convex and non-linear constrained optimization problems. Due to these …