Application of Particle Swarm Optimization for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction in  Distribution Network

The important of electric power distribution is to have centralized plants distributing electricity through Distributed generation (DG) which reduces the cost of maintenance on transmission and distribution station and also improve voltage profile. This research paper present the application of generation based on Biogas power renewable energy source to the Distribution network and how it stabilizes the network by normalizing the fluctuating voltage profile at the distribution end of power system. A Particle Swarm Optimization (PSO) model was performed and evaluation of the impact of the DG by stimulating the developed model in the system. A mathematical formulation and optimization algorithm was performed using the MATLAB/Simulink program. The results obtained were correction of the faulty buses voltages and stable power supply which is 29.4% better than the conventional one. The result shows the implementation of the optimisation technique has improved the energy efficiency of the distribution network.

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Optimal Placement of Distributed Generation in Distribution Network Using particle Swarm Optimization

2020 International Conference for Emerging Technology (INCET) ◽

10.1109/incet49848.2020.9154091 ◽

2020 ◽

Author(s):

Harish Sunil Avchat ◽

Santosh Mhetre

Keyword(s):

Particle Swarm Optimization ◽

Distributed Generation ◽

Distribution Network ◽

Particle Swarm ◽

Optimal Placement ◽

Swarm Optimization

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Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.699.809 ◽

2014 ◽

Vol 699 ◽

pp. 809-815 ◽

Cited By ~ 1

Author(s):

Mohamad Fani Sulaima ◽

Mohd Hafiz Jali ◽

Wan Mohd Bukhari ◽

M.N.M. Nasir ◽

Hazriq Izzuan Jaafar

Keyword(s):

Particle Swarm Optimization ◽

Power Distribution ◽

Distribution Network ◽

Heuristic Method ◽

Particle Swarm ◽

Computational Time ◽

Network Reconfiguration ◽

Voltage Profile ◽

Power Distribution Network ◽

Swarm Optimization

Due to the complexity of modern power distribution network, a hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans for network reconfiguration. The objectives of this work are to reduce the power losses and improve the voltage profile in the overall system meanwhile minimizing the computational time. The proposed combination of Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) is introduced to make it faster in order to find the optimal solution. The proposed method is applied and it impacts to the network reconfiguration for real power loss and voltage profiles is investigated respectively. The proposed method is tested on a IEEE 33-bus system and it is compared to the traditional PSO and EP method accordingly. The results of this study is hoped to help the power engineer to configure the smart and less lossed network in the future.

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