scholarly journals Cat Swarm Optimization to Shunt Capacitor Allocation in Algerian Radial Distribution Power System

2018 ◽  
Vol 7 (3) ◽  
pp. 143
Author(s):  
Amar Hamzi ◽  
Rachide Meziane
Keyword(s):  
Distribution Systems ◽  
Search Algorithm ◽  
Optimization Method ◽  
Algorithm Optimization ◽  
Swarm Optimization ◽  
Capacitor Switching ◽  
Cat Swarm Optimization ◽  
Capacitor Placement ◽  
Capacitor Allocation ◽  
Shunt Capacitor

This paper presents a Cat Swarm Optimization (CSO) Algorithm optimization method to shunt capacitor placement on distribution systems under capacitor switching constraints. The optimum capacitor allocation solution is found for the system of feeders fed through their transformer and not for any individual feeder. The main advantages due to capacitor installation, such as capacity release and reduction of overall power and energy losses are considered. The capacitor allocation constraints due to capacitor-switching transients are taken into account. These constraints are extremely important if pole-mounted capacitors are used together with station capacitor bank. Cat Swarm search algorithm is used as an optimization tool. An illustrative example for Algerian example is presented.

scholarly journals Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Ricardo Soto ◽  
Broderick Crawford ◽  
Angelo Aste Toledo ◽  
Hanns de la Fuente-Mella ◽  
Carlos Castro ◽  
...  
Keyword(s):  
Design Problem ◽  
Search Algorithm ◽  
Production Plant ◽  
Cell Design ◽  
Swarm Optimization ◽  
Mixture Ratio ◽  
Manufacturing Cell ◽  
Cat Swarm Optimization ◽  
Autonomous Search ◽  
Behavior Of Cats

In this research, we present a Binary Cat Swarm Optimization for solving the Manufacturing Cell Design Problem (MCDP). This problem divides an industrial production plant into a certain number of cells. Each cell contains machines with similar types of processes or part families. The goal is to identify a cell organization in such a way that the transportation of the different parts between cells is minimized. The organization of these cells is performed through Cat Swarm Optimization, which is a recent swarm metaheuristic technique based on the behavior of cats. In that technique, cats have two modes of behavior: seeking mode and tracing mode, selected from a mixture ratio. For experimental purposes, a version of the Autonomous Search algorithm was developed with dynamic mixture ratios. The experimental results for both normal Binary Cat Swarm Optimization (BCSO) and Autonomous Search BCSO reach all global optimums, both for a set of 90 instances with known optima, and for a set of 35 new instances with 13 known optima.

Research on Electronic Materials with Design of a Down-Conversion Mixer Based on Particle Swarm Optimization Algorithm

2013 ◽  
Vol 771 ◽  
pp. 173-177
Author(s):  
Hui Lin Shan ◽  
Yin Sheng Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Frequency Conversion ◽  
Particle Swarm Optimization Algorithm ◽  
Electronic Materials ◽  
Search Algorithm ◽  
Particle Swarm ◽  
Optimization Method ◽  
Dielectric Substrate ◽  
Swarm Optimization

This paper presents principles of a down-converted mixer for four sub-harmonic and proposes a particle swarm optimization algorithm as a global search algorithm, and the performance equation is used as the assessment of the mixer circuit optimization method. Dielectric substrate adopts Electronic Materials with RF/Duroid 5880 whose dielectric constant is 2.20 and 5mil in thickness. The optimization algorithm can quickly get optimal results. The simulation results show that this mixer achieves higher 1 dB compression point, loss of frequency conversion which is less than 15 dB and good linearity.

Optimal Placement of Power Factor Correction Capacitors Using Taguchi Optimization Method

2018 ◽  
pp. 777-812
Author(s):  
Abdelmadjid Recioui
Keyword(s):  
Power Factor ◽  
Distribution System ◽  
Distribution Systems ◽  
Power Factor Correction ◽  
Optimization Method ◽  
Optimal Placement ◽  
Placement Problem ◽  
Taguchi Optimization ◽  
Taguchi Optimization Method ◽  
Capacitor Placement

This chapter presents two methods to optimize the placement of capacitors in a distribution system and thus correcting power factor and reducing losses and costs. The first method uses ETAP software and its integrated algorithm of optimally placing power factor correction capacitors. The second uses the Taguchi Optimization method to solve the optimal capacitor placement problem in electric distribution systems. To test the efficiency of these methods, they were applied to various examples (different bus systems) and simulation results of the two methods are discussed.

scholarly journals Improved Cat Swarm Optimization for Simultaneous Allocation of DSTATCOM and DGs in Distribution Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Neeraj Kanwar ◽  
Nikhil Gupta ◽  
K. R. Niazi ◽  
Anil Swarnkar
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Search Space ◽  
Optimization Techniques ◽  
Swarm Optimization ◽  
Cat Swarm Optimization ◽  
Power Loss Reduction ◽  
Behavior Of Cats ◽  
Search Approach

This paper addresses a new methodology for the simultaneous optimal allocation of DSTATCOM and DG in radial distribution systems to maximize power loss reduction while maintaining better node voltage profiles under multilevel load profile. Cat Swarm Optimization (CSO) is one of the recently developed powerful swarm intelligence-based optimization techniques that mimics the natural behavior of cats but usually suffers from poor convergence and accuracy while subjected to large dimension problem. Therefore, an Improved CSO (ICSO) technique is proposed to efficiently solve the problem where the seeking mode of CSO is modified to enhance its exploitation potential. In addition, the problem search space is virtually squeezed by suggesting an intelligent search approach which smartly scans the problem search space. Further, the effect of network reconfiguration has also been investigated after optimally placing DSTATCOMs and DGs in the distribution network. The suggested measures enhance the convergence and accuracy of the algorithm without loss of diversity. The proposed method is investigated on 69-bus test distribution system and the application results are very promising for the operation of smart distribution systems.

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