Reconfiguration and Optimal Micro-Phasor Unit Placement in a Distribution System Using Taguchi-Binary Particle Swarm Optimization

2020 ◽  
Author(s):  
Sukriti Tiwari ◽  
Ashwani Kumar
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization

Rekonfigurasi Jaringan Menggunakan Binary Particle Swarm Optimization (BPSO) Pada Penyulang Suryagraha

2020 ◽  
Vol 1 (1) ◽  
pp. 22-30
Author(s):  
Diana Mulya Dewi ◽  
Nuzul Hikmah ◽  
Imam Marzuki ◽  
Ahmad Izzuddin
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Electrical Network ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Good Efficiency ◽  
Voltage Loss

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the endpoint. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees, or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of bits to reach value 1. The results show a significant reduction in losses.

scholarly journals Distribution System Reconfiguration for Loss Minimization and Voltage Profile Enhancement by using Discrete – Improved Binary Particle Swarm Optimization Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 900-906
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Voltage Profile ◽  
Power Losses ◽  
Swarm Optimization ◽  
System Reconfiguration ◽  
Distribution System Reconfiguration ◽  
Bus System

Distribution system reconfiguration is done by altering the open / close position of two kinds of switches: usually open tie switches and sectionalizing switches usually closed. Its main purpose is restoration of supply via other route to improve reliability, sometimes for load balancing by relieving overloads. Feeder reconfiguration is very good alternative to reduce power losses and improve voltage profile to improve overall performance. Distribution system reconfiguration is a very cost effective way to reduce the distribution system power losses, enhance voltage profile and system reliability. This paper presents application of novel Discrete - improved binary particle swarm optimization (D-IBPSO) algorithm for distribution system reconfiguration for minimization of real power loss and improvement of voltage profile. The algorithm is implemented to a 16-bus, 33-bus system and a 69-bus system considering different loading conditions. The simulation results indicate that the suggested technique can accomplish optimal reconfiguration and significantly reduce power losses on the supply scheme and enhance the voltage profile.

Rekonfigurasi Jaringan Radial Distribusi Tenaga Listrik Penyulang Suryagraha Menggunakan Binary Particle Swarm Optimization (BPSO)

2019 ◽  
Vol 9 (2) ◽  
pp. 58-66
Author(s):  
Diana Mulya Dewi ◽  
Nuzul Hikmah ◽  
Imam Marzuki ◽  
Ahmad Izzuddin
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Electrical Network ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Good Efficiency ◽  
Voltage Loss

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the end point. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of xn bits to reach value 1. The results show a significant reduction in losses .

Rekonfigurasi Jaringan Radial Distribusi Tenaga Listrik Penyulang Suryagraha Menggunakan Binary Particle Swarm Optimization (BPSO)

2018 ◽  
Vol 9 (2) ◽  
pp. 58-66
Author(s):  
Diana Mulya Dewi ◽  
Nuzul Hikmah ◽  
Imam Marzuki ◽  
Ahmad Izzuddin
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Electrical Network ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Good Efficiency ◽  
Voltage Loss

A radial distribution electrical network at a certain distance will have a large voltage loss due to conductive losses, especially at the end point. The tip voltage is determined by the distance of the distribution and the amount of load. The form of configuration also affects the amount of power loss and voltage loss. So that a good configuration is needed in order to obtain good efficiency. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So it is necessary to solve problems using program assistance. In this case, use Particle Swarm Optimization (PSO). Particle Swarm Optimization (PSO) algorithm based on the behavior of a herd of insects, such as ants, termites, bees or birds. BPSO is a development of the PSO algorithm designed to solve the optimization problem in a discrete combination, where the particle takes the value of binary vectors with length n and speed which is defined as the probability of xn bits to reach value 1. The results show a significant reduction in losses.

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