This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely; active power losses and generation fuel cost are minimized and compared using the IEEE 30-bus system. System operating constrains, including constrains dictated by the electrical network are satisfied. An efficient software package based on the particle swarm algorithm to solve the OPF problem is developed. Comparisons between results of different objective functions and other methods in the literature are presented. Further objective functions and constraints can be easily added to the developed software package and tested. References
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
ABSTRACT- This paper narrates an application of Particle Swarm Optimization (PSO) for economic load ...
In power systems, optimal power flow (OPF) is a complex and constrained optimization problem in whic...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
This paper presents solution of optimal power flow (OPF) problem of a power system via a simple part...
This paper compares the performance of three population-based algorithms including particle swarm op...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the ...
ABSTRACT The main objective of this paper is to use of Newton’s method for optimization techniques. ...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
This research discusses setting up the multi-objective Optimal Power Flow (OPF) used for power gener...
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
ABSTRACT- This paper narrates an application of Particle Swarm Optimization (PSO) for economic load ...
In power systems, optimal power flow (OPF) is a complex and constrained optimization problem in whic...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
This paper presents solution of optimal power flow (OPF) problem of a power system via a simple part...
This paper compares the performance of three population-based algorithms including particle swarm op...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the ...
ABSTRACT The main objective of this paper is to use of Newton’s method for optimization techniques. ...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
This research discusses setting up the multi-objective Optimal Power Flow (OPF) used for power gener...
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
ABSTRACT- This paper narrates an application of Particle Swarm Optimization (PSO) for economic load ...
In power systems, optimal power flow (OPF) is a complex and constrained optimization problem in whic...