Abstract—This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the optimal measurement placement of power system state estimation. The main objective is to simplify the complexity in finding the best measurement placement and provide a high accuracy level of estimated state. The effectiveness of the proposed method is tested using the IEEE 30 bus system. Pseudo measurements of load injection are included as measurement data in assisting the state estimation computation
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...
Abstract – State Estimation (SE) is the basis of a variety of advanced applications used in most mod...
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the o...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for o...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Present-day power systems are mostly equipped with conventional meters and intended for the installa...
Power system network is an interconnected web of crucial electrical elements and system monitoring. ...
Abstract – State Estimation (SE) is the basis of a variety of advanced applications used in most mod...
Phasor Measurement Units (PMU) are rapidly becoming more popular in power system. Compared to conven...
A binary particle swarm optimization (BPSO) based\ud methodology for the optimal placement of phasor...
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...
Abstract – State Estimation (SE) is the basis of a variety of advanced applications used in most mod...
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the o...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for o...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Optimal allocation of measurement devices is a necessity in order to carry out state estimation of a...
Present-day power systems are mostly equipped with conventional meters and intended for the installa...
Power system network is an interconnected web of crucial electrical elements and system monitoring. ...
Abstract – State Estimation (SE) is the basis of a variety of advanced applications used in most mod...
Phasor Measurement Units (PMU) are rapidly becoming more popular in power system. Compared to conven...
A binary particle swarm optimization (BPSO) based\ud methodology for the optimal placement of phasor...
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...
Abstract – State Estimation (SE) is the basis of a variety of advanced applications used in most mod...
A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor me...