Power Factor Optimization of Distributed Generations in Distribution Networks Based on Improved Particle Swarm Optimization Method

2012 ◽  
Vol 516-517 ◽  
pp. 1408-1413 ◽  
Author(s):  
Cheng Xi Li ◽  
Wen Jun Yan ◽  
Qiang Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Factor ◽  
Power Distribution ◽  
Power Loss ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Optimization Method ◽  
Small Scale ◽  
Swarm Optimization ◽  
Power Utilities

The gradually extensive penetration of small-scale distributed renewable generators in existing medium-voltage power distribution networks highlights many technical challenges which call for urgent solutions from power utilities. This paper attempts to optimize the power factor of distributed generators (DGs) integrated in distribution networks and presents a novel algorithmic solution. With the aim of minimizing power loss whilst maintaining the node voltage, the problem is formulated with a mathematical model elaborating the DGs and a set of constraints in distribution networks and addressed through adopting an extended particle swarm optimization (PSO) approach. The suggested algorithm is assessed through numerical simulation experiments with the IEEE 33-bus system and the outcome shows that the optimization algorithm can effectively reduce the power loss and promote the node voltages across the overall distribution network.

scholarly journals OPTIMASI PENEMPATAN DISTRIBUTED GENERATION PADA PENYULANG GOA LAWAH MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION (PSO)

2018 ◽  
Vol 5 (2) ◽  
pp. 74
Author(s):  
I Made Bagas Sastra Negara ◽  
Ngakan Putu Satriya Utama ◽  
Cok Gede Indra Partha
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Distributed Generation ◽  
Power Loss ◽  
Particle Swarm ◽  
Small Scale ◽  
Swarm Optimization ◽  
Hydro Power ◽  
Distributed Generation Placement

Distributed Generation (DG) is a small-scale power plant located close to the center of load. Goa Lawah feeder is a broadcast that is close to the potential of DG namely the Mini Hydro Power Plant on the Unda River in Klungkung Regency. In this research the optimization of Distributed Generation placement to Goa Lawah feeder. Optimization of Distributed Generation placement aims to reduce the value of loss of power that exist in the feeder Goa Lawah. The results of the research obtained at the point of bus 123 by Distributed Generation placement using Particle Swarm Optimization (PSO) method, with power loss 41 kW (44%). The initial loss before the Distributed Generation interconnection of 72 kW after the Distributed Generation interconnection to 31 kW.

Hybridized Particle Swarm Optimization on Constrained Economic Dispatch Problem

2020 ◽  
Vol 17 (1) ◽  
pp. 322-328 ◽  
Author(s):  
Namarta Chopra ◽  
Y. S. Brar ◽  
J. S. Dhillon
Keyword(s):  
Particle Swarm Optimization ◽  
Large Scale ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Classical Problem ◽  
Optimization Method ◽  
Small Scale ◽  
Swarm Optimization ◽  
Suggested Approach ◽  
Large Scale System

The hybridization of particle swarm optimization (PSO) with simplex search method (SSM) is presented on the problem of economic dispatch in the thermal plants so as to minimizes the overall operating fuel cost while subjected to various constraints. This hybridization of stochastic with deterministic optimization method helps the global optimum solution to further refine by the local search. It also overcome some of the drawbacks of conventional PSO like premature convergence and stagnation in the solution if the number of iterations are increased. This proposed optimization method is used to get the overall minimum cost of fuel by including transmission line losses and valve point loading effect (VPLE) in the classical problem of economic dispatch, so as to have the more practical impact in the case considered. The validness of the suggested algorithm is tested using small scale and large scale system and the analogy of results obtained are done with existing algorithms cited in the literature, showing improvement of 29.3% in small scale system and 6.4% in large scale system, which proves the robustness of the suggested approach.

scholarly journals Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)

2014 ◽  
Vol 5 (1) ◽  
pp. 259
Author(s):  
Siti Komsiyah
Keyword(s):  
Particle Swarm Optimization ◽  
Lagrange Multiplier ◽  
Power Distribution ◽  
Transmission Loss ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Electrical Energy ◽  
Optimization Method ◽  
Mathematical Methods ◽  
Swarm Optimization

In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the electricity demand in a certain area is fulfilled without ignoring the constraints that exist, so it is obtained a minimum total generation cost. Optimization method that is used is the Gaussian Particle Swarm Optimization (GPSO), while for the validation of the results, the obtained solution with the GPSO will be compared with the solution obtained by mathematical methods Extended Lagrange Multiplier (ELM) or the Lagrange multiplier method which its functions are expanded. The solution that is calculated is generation output in Megawatt of 23 thermal generating units system in Mahakam, East Kalimantan, which had a total cost of optimal generating (minimum).

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

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