Economic dispatch of hydro power system based on Bacterial Foraging Optimization Algorithm

2013 ◽  
Author(s):  
Guozhong Wu
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Economic Dispatch ◽  
Bacterial Foraging Optimization ◽  
Hydro Power ◽  
Bacterial Foraging ◽  
Bacterial Foraging Optimization Algorithm

The Improved of BFOA for Ensuring the Sustainable Economic Dispatch

2015 ◽  
Vol 785 ◽  
pp. 83-87 ◽  
Author(s):  
Elia Erwani Hassan ◽  
Titik Khawa Abdul Rahman ◽  
Zuhaina Zakaria ◽  
Nazrulazhar Bahaman
Keyword(s):  
Optimization Algorithm ◽  
Economic Dispatch ◽  
Heuristic Method ◽  
Optimization Approach ◽  
The Novel ◽  
Local Minima ◽  
Bacterial Foraging Optimization ◽  
Reliable Technique ◽  
Bacterial Foraging ◽  
Bacterial Foraging Optimization Algorithm

This paper introduced a new heuristic method the Improved to Bacterial Foraging Optimization Algorithm or IBFO to provide minimize objective functions in Secured Environmental Economic Dispatch (SEED) problems. An optimization problem may involve the highly non linear, non convex and non differentiable tends the solutions observed from a multiple local minima. The limitation faced by conventional methods are being trapped at any this local minima and prevent to reach the global minima. For that reason, this approach IBFO is tested under IEEE 118 bus system to obtain the minimum total cost function with less emission involved. Additionally, the proposed optimization approach is compared to original Bacterial Foraging Optimization Algorithm (BFO). As a result, all findings supported the novel IBFO as the competent and reliable technique.

scholarly journals HARMONIC COMPONENTS ESTIMATION IN POWER SYSTEM USING BACTERIAL FORAGING OPTIMIZATION ALGORITHM AND STOCHASTIC GRADIENT ALGORITHM WITH VARIABLE FORGETTING FACTOR

2016 ◽  
Vol 17 (1) ◽  
pp. 127-146
Author(s):  
Ahmad Mohammadzadeh ◽  
Jalil Sadati ◽  
Behrooz Rezaie
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Convergence Speed ◽  
Stochastic Gradient ◽  
Recursive Least Squares ◽  
Forgetting Factor ◽  
Bacterial Foraging Optimization ◽  
Bacterial Foraging ◽  
Variable Forgetting Factor ◽  
Bacterial Foraging Optimization Algorithm

In this paper, a hybrid configuration algorithm called stochastic gradient method with variable forgetting factor (SGVFF) is proposed to better estimate unknown parameters in a power system such as amplitude and phase of harmonics using variable forgetting factor following the bacterial foraging optimization algorithm (BFO). It must be mentioned that harmonic estimation is a nonlinear problem and using linear optimization algorithms for solving this problem reduces the convergence speed. Thus, BFO algorithm is used for initial estimation. In this paper, first, using little information and by applying BFO algorithm in an off-line procedure initial value for SGVFF algorithm is achieved and then SGVFF algorithm is gained in an on-line procedure. In the hybrid algorithm applied in this paper, amplitudes and phases are estimated simultaneously. Simulation results indicate that the proposed method has faster convergence speed, better performance and higher accuracy in a noisy system in comparison with recursive least squares variable forgetting factors algorithm (RLSVFF). This proves the superiority of the proposed method.KEYWORDS:  Power system harmonic; BFO algorithm; SGVFF method; RLSVFF method

Bacterial Foraging Optimization Algorithm with Quorum Sensing Mechanism

2014 ◽  
Vol 556-562 ◽  
pp. 3844-3848
Author(s):  
Hai Shen ◽  
Mo Zhang
Keyword(s):  
Quorum Sensing ◽  
Optimization Algorithm ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Cell Communication ◽  
Bacterial Foraging Optimization ◽  
Sensing Mechanism ◽  
Bacterial Foraging ◽  
Bacterial Quorum ◽  
Bacterial Foraging Optimization Algorithm

Quorum sensing is widely distributed in bacteria and make bacteria are similar to complex adaptive systems, with intelligent features such as emerging and non-linear, the ultimate expression of the adaptive to changes in the environment. Based on the phenomenon of bacterial quorum sensing and Bacterial Foraging Optimization Algorithm, some new optimization algorithms have been proposed. In this paper, it presents research situations, such as environment-dependent quorum sensing mechanism, quorum sensing mechanism with quantum behavior, cell-to-cell communication, multi-colony communication, density perception mechanism. Areas of future emphasis and direction in development were also pointed out.

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