This paper proposes an optimal power flow (OPF) method taking into account small signal stability as additional constraints. Particle swarm optimization (PSO) algorithm is adopted to realize the OPF process. The method is programmed in MATLAB and implemented to a nine-bus test power system which has large-scale wind power integration. The results show the ability of the proposed method to find optimal (or near-optimal) operating points in different cases. Based on these results, the analysis of the impacts of wind power integration on the system small signal stability has been conducted
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
The produced energy from varied sources in modern power systems is to be optimally planned for plann...
The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation...
Optimal power ow (OPF) problems are important optimization problems in power systems which aim to mi...
This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely...
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 ...
The optimal power flow (OPF) problem aims to control the generation and consumption of generators an...
AbstractThis paper proposes a regulation algorithm for the power flow regulation of a power system. ...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
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...
AN ABSTRACT OF THE THESIS OF Mohamed A. Abuella, for the Master of Science degree in Electrical and ...
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
The produced energy from varied sources in modern power systems is to be optimally planned for plann...
The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation...
Optimal power ow (OPF) problems are important optimization problems in power systems which aim to mi...
This paper deals with the Optimal Power Flow (OPF) problem. Two different objective functions namely...
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 ...
The optimal power flow (OPF) problem aims to control the generation and consumption of generators an...
AbstractThis paper proposes a regulation algorithm for the power flow regulation of a power system. ...
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point o...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
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...
AN ABSTRACT OF THE THESIS OF Mohamed A. Abuella, for the Master of Science degree in Electrical and ...
Abstract: This paper describes optimal power flow based on swarm intelligence in which the power tra...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
The produced energy from varied sources in modern power systems is to be optimally planned for plann...