نتایج جستجو برای: bee mating optimization hbmo algorithm

تعداد نتایج: 998791  

2013
LIZHEN WU XIAOHONG HAO

Recently, Distribute Generation sources (DGs) connected to the distribution network has received increasing attention. The daily voltage control is one of the most important schemes in distribution networks, which can be affected by DGs. This paper presents a multi-objective Voltage optimizes control modeling, including objectives that are the total cost of power generated by Wind Farms (WFs) a...

2011
H. Shayeghi H. A. Shayanfar A. Ghasemi

In this paper, optimal tuning of the PID controller for solution of the Load frequency Control (LFC) problem in the restructured power system is proposed using Honey Bee Mating Optimization (HBMO) technique. The problem of robustly tuning of PID based LFC design is formulated as an optimization problem according to the time domain-based objective function which is solved by the HBMO technique t...

2016
A. Safari A. Ahmadian M. A. A. Golkar

Damping of low frequency electromechanical oscillations is very important for a safe system operation. The fast acting, of a static synchronous compensator (STATCOM) which is capable of improving both steady state and dynamic performance permits newer approaches to system stabilization. This paper presents a novel methodology for tuning STATCOM based damping controller in order to enhance the d...

Journal: :European Journal of Operational Research 2012
Nasser R. Sabar Masri Ayob Graham Kendall Rong Qu

In this work, we propose a variant of the Honey-bee Mating Optimization Algorithm for solving educational timetabling problems. The honey-bee algorithm is a nature inspired algorithm which simulates the process of real honey-bees mating. The performance of the proposed algorithm is tested over two benchmark problems; exam (Carter’s un-capacitated datasets) and course (Socha datasets) timetablin...

In this study, a new method for designing the damping controller was proposed to improve the transient power system stability in a single machine network connected to an infinite bus. The STATCOM controller problem in a wide area of the system function was considered as an optimization problem with multi-purpose objective function. Also, the Honey Bee Mating Optimization Algorithm was used to d...

2012
B. BAHMANIFIROUZI E. FARJAH T. NIKNAM E. AZAD FARSANI

Abstract– Distribution feeder reconfiguration (DFR) is one of the well-known and effective strategies adopted in distribution network. The goal of DFR problem is to obtain a new topological structure for distribution feeders by rearranging the status of switches such that an optimal configuration would be obtained. The existence of Distributed Generation (DG) can affect the entire power system ...

Journal: :journal of operation and automation in power engineering 2007
r. ghanizadeh a. jahandideh shendi m. ebadian m. golkar a. ajami

in this paper, a novel compensator based on magnetically controlled reactor with fixed capacitor banks (fc-mcr) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. the problem of robust fc-mcr-based damping controller design is formulated as a multi-objective optimization problem. the multi-objective problem is concocted ...

2013
M. H. Horng

Multilevel thresholding is an important technique for image processing and pattern recognition. The maximum entropy thresholding (MET) has been widely applied in the literature. In this paper, a new multilevel MET algorithm based on the technology of the shuffled frog-leaping (SFLO) algorithm is proposed: called the maximum entropy based shuffled frog-leaping algorithm thresholding (MESFLOT) me...

Journal: :Expert Syst. Appl. 2014
Ganesh Krishnasamy Anand Jayant Kulkarni Raveendran Paramesran

Clustering is an important and popular technique in data mining. It partitions a set of objects in such a manner that objects in the same clusters are more similar to each another than objects in the different cluster according to certain predefined criteria. K-means is simple yet an efficient method used in data clustering. However, K-means has a tendency to converge to local optima and depend...

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