Add to ORKG© 2019 IEEE. Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study which is used to find the most economical power export allocation from different generating resources. Policies to produce green electricity have led to the integration of non-conventional generating resources into the networks. However, non-conventional generators, like solar and wind, have intermittent power export due to their stochastic nature. This paper presents an OPF approach for modern grids integrated with conventional and non-conventional generating resources considering environmental impacts. Different loading and generation scenarios are considered for solving the probabilistic OPF using MATPOWER for an IEEE 30-bus transmission netwo...
AbstractAs is known, the insertion of new generation technologies, whether it is on transmission or ...
The growing interest on RES gives traditional power systems an opportunity to evolve towards more su...
Today’s electrical power system became more complex interconnected network that is expanding ...
© 2019 IEEE. Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study whic...
Micro-grids are bits of a power circulation organize that supply various loads, and incorporate dist...
Modern electric power systems consist of large-scale, highly complex interconnected systems projecte...
Generations from several sources in an electrical network are to be optimally scheduled for economic...
The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation...
This paper presents a genetic algorithm (GA) based approach for the solution of the optimal power...
The current research investigates a new and unique Multi-Objective Generalized Normal Distribution O...
Today's electricity grid is rapidly evolving, with increased penetration of renewable energy sources...
This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely...
As is known, the insertion of new generation technologies, whether it is on transmission or distribu...
ABSTRACT The main objective of this paper is to use of Newton’s method for optimization techniques. ...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
AbstractAs is known, the insertion of new generation technologies, whether it is on transmission or ...
The growing interest on RES gives traditional power systems an opportunity to evolve towards more su...
Today’s electrical power system became more complex interconnected network that is expanding ...
© 2019 IEEE. Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study whic...
Micro-grids are bits of a power circulation organize that supply various loads, and incorporate dist...
Modern electric power systems consist of large-scale, highly complex interconnected systems projecte...
Generations from several sources in an electrical network are to be optimally scheduled for economic...
The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation...
This paper presents a genetic algorithm (GA) based approach for the solution of the optimal power...
The current research investigates a new and unique Multi-Objective Generalized Normal Distribution O...
Today's electricity grid is rapidly evolving, with increased penetration of renewable energy sources...
This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely...
As is known, the insertion of new generation technologies, whether it is on transmission or distribu...
ABSTRACT The main objective of this paper is to use of Newton’s method for optimization techniques. ...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
AbstractAs is known, the insertion of new generation technologies, whether it is on transmission or ...
The growing interest on RES gives traditional power systems an opportunity to evolve towards more su...
Today’s electrical power system became more complex interconnected network that is expanding ...