Static planning of the expansion of electrical energy transmission systems using particle swarm optimization

2014 ◽  
Vol 60 ◽  
pp. 234-244 ◽  
Author(s):  
Isabela Miranda de Mendonça ◽  
Ivo Chaves Silva Junior ◽  
André L.M. Marcato
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Electrical Energy ◽  
Energy Transmission ◽  
Transmission Systems ◽  
Swarm Optimization ◽  
Static Planning

scholarly journals Forecasting Electrical Energy Consumption of Equipment Maintenance Using Neural Network and Particle Swarm Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xunlin Jiang ◽  
Haifeng Ling ◽  
Jun Yan ◽  
Bo Li ◽  
Zhao Li
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Energy Use ◽  
Particle Swarm ◽  
Electrical Energy ◽  
Pso Algorithm ◽  
Equipment Maintenance ◽  
Electrical Energy Consumption ◽  
Swarm Optimization

Accurate forecasting of electrical energy consumption of equipment maintenance plays an important role in maintenance decision making and helps greatly in sustainable energy use. The paper presents an approach for forecasting electrical energy consumption of equipment maintenance based on artificial neural network (ANN) and particle swarm optimization (PSO). A multilayer forward ANN is used for modeling relationships between the input variables and the expected electrical energy consumption, and a new adaptive PSO algorithm is proposed for optimizing the parameters of the ANN. Experimental results demonstrate that our approach provides much better accuracies than some other competitive methods on the test data.

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).

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