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[PDF] Top 20 Improvement in Large Signal Stability Using PSO Algorithm

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Improvement in Large Signal Stability Using PSO Algorithm

Improvement in Large Signal Stability Using PSO Algorithm

... a PSO algorithm, multiple candidate solutions called particles coexist and collaborate simultaneously, where each particle denotes a solution X = [x1,x2, ...in PSO adjusts its position according to ... See full document

8

Loss Minimization and Voltage Profile Improvement Incorporating Multiple SVC using PSO Algorithm

Loss Minimization and Voltage Profile Improvement Incorporating Multiple SVC using PSO Algorithm

... voltage stability, minimizing the losses and to reduce the voltage magnitude ...profile improvement in ...voltage stability in ...voltage stability problem has been proposed in ...based ... See full document

6

PSO Algorithm-Based Optimal Tuning of PSS for Damping Improvement of Power Systems

PSO Algorithm-Based Optimal Tuning of PSS for Damping Improvement of Power Systems

... (PSO) algorithm is presented for tuning Power System Stabilizer (PSS) ...identified using modal controllability and observability ...proposed algorithm is applied to a single machine power ... See full document

7

Research on Particle Swarm Optimization Algorithm Based on Cloud Computing Task Scheduling

Research on Particle Swarm Optimization Algorithm Based on Cloud Computing Task Scheduling

... intelligence algorithm is a hot topic. Particle swarm optimization (PSO) is an important swarm intelligent algorithm in solving the task scheduling optimization ...basic PSO algorithm, ... See full document

7

Volume 2, Issue 8, August 2013 Page 307

Volume 2, Issue 8, August 2013 Page 307

... By using FACTS devices [1], it is also possible to control the phase angle, the voltage magnitude at chosen buses and/or line impedances of transmission ...the stability margin improvement [2], the ... See full document

7

Transient Stability Improvement Of LFC And AVR Using Bacteria Foraging Optimization Algorithm

Transient Stability Improvement Of LFC And AVR Using Bacteria Foraging Optimization Algorithm

... In addition, the AVR must be able to respond to a transient disturbance with field forcing consistent with the generator instantaneous and short term capabilities. It should also be capable of responding to disturbance ... See full document

6

ADAPTIVE LIFTING BASED IMAGE COMPRESSION SCHEME WITH PARTICLE SWARM OPTIMIZATION TECHNIQUE

ADAPTIVE LIFTING BASED IMAGE COMPRESSION SCHEME WITH PARTICLE SWARM OPTIMIZATION TECHNIQUE

... with large magnitude and many coefficients with small ...with large magnitude, lossy compression systems just by using coefficients with large magnitude can realize both high compression ratio ... See full document

10

EEG Signal Classification Using ANN Trained With Hybrid PSO And GSA

EEG Signal Classification Using ANN Trained With Hybrid PSO And GSA

... signals using MLPNN based ...decomposed using DWT and the statistics of the wavelet coefficients form the feature ...ANNPSOGSA algorithm outperforms the other two algorithms in terms of avoidance of ... See full document

7

Power System Stability Improvement Using Differential Evolution Algorithm based Controller for STATCOM

Power System Stability Improvement Using Differential Evolution Algorithm based Controller for STATCOM

... During normal operating condition there is complete balance between input mechanical power and output electrical power and this is true for all operating points. During disturbance, the balance is disturbed and the ... See full document

6

A GA/IPSO BASED APPROACH FOR SYSTEM LOSS REDUCTION AND VOLTAGE PROFILE IMPROVEMENT EMPLOYING ARITHMETIC CROSSOVER AND MUTATION.

A GA/IPSO BASED APPROACH FOR SYSTEM LOSS REDUCTION AND VOLTAGE PROFILE IMPROVEMENT EMPLOYING ARITHMETIC CROSSOVER AND MUTATION.

... genetic algorithm (GA) and neural network (NN) for identification of possible locations for fixing DGs and the amount of power to be generated by the DG to achieve power quality ...and PSO for optimal DG ... See full document

10

Improvement of Clustering Mechanism using SVM and PSO in Reinforcement Learning

Improvement of Clustering Mechanism using SVM and PSO in Reinforcement Learning

... A Support Vector Machine is a supervised learning model. It contains learning algorithm. Information required for the purpose of organization and decay examination is survey by them. It is a machine learning ... See full document

5

Title: Small Signal Stability Improvement by Power System Stabilizer (PSS)

Title: Small Signal Stability Improvement by Power System Stabilizer (PSS)

... In addition to the PSS system only when necessary, and is based on the transient and steady-state mode, the main task of the working voltage (voltage regulation terminal of the machine) washout systems, to make a dent ... See full document

11

An Improvement in Peak to Average Power Reduction Using Subspace Carrier Genetic Algorithm in OFDM

An Improvement in Peak to Average Power Reduction Using Subspace Carrier Genetic Algorithm in OFDM

... The simulation of PAPR OFDM with subcarrier space method is done by using MATLAB software. The result is centered on the BER and probability of error. This Investigational results displays how to use the ... See full document

8

Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM

Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM

... Fuzzy set theory widely used in the control area with application to power system[5]. A fuzzy logic control is built up by group of rules based on human knowledge of system behavior. Matlab or Simulink simulation model ... See full document

10

Particle Swarm Optimization With Kernel Support Vector Machine For Churn Prediction In Telecommunication Industry

Particle Swarm Optimization With Kernel Support Vector Machine For Churn Prediction In Telecommunication Industry

... 2) PSO: In order to compute the optimal parameter from and few conventional techniques are employed with trial-and-error ...Hence, PSO is a developed global optimizing technique that is obtained from the ... See full document

5

Optimization of NTRU Cryptosystem using GA and PSO Algorithm

Optimization of NTRU Cryptosystem using GA and PSO Algorithm

... PSO is initialized with a group of random particles (solutions) and then searches for optima by updating generations. In every iteration, each particle is updated by following two "best" values. The first ... See full document

5

A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB 
SERVICES BASED ON MUTATION TESTING

A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING

... GA-SVM algorithm is proposed using the character of GA in which searching the optimal combination is made to combine SVM classification algorithm to which it gets the tool of optimal columns ... See full document

10

Analog Circuit Synthesis Using PSO and HPSO Algorithm

Analog Circuit Synthesis Using PSO and HPSO Algorithm

... Where, Vmax ≥ Vi ≥ -Vmax and c1, c2 are two positive constants named learning factors (usually c1=c2=2). rand( ) and Rand( ) are two random functions in the range [0, 1], Vmax is an upper limit on the maximum change of ... See full document

8

MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION 
OF WEIGHT INITIALIZATION

MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION

... NN-GA using DATA 1 and DATA 2. Using parameters as in Table 1, after 20 times of running program on algorithm using Matlab 2013b, Intel Core i3 ... See full document

7

A Novel PSO Algorithm for Optimal Production Cost of the Power Producers with Transient Stability Constraints

A Novel PSO Algorithm for Optimal Production Cost of the Power Producers with Transient Stability Constraints

... Ratio PSO (FDR PSO) algorithm is described in this paper to determine the optimal power dispatch of the Independent Power Producers (IPP) with linear ramp model and transient stability ... See full document

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