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Bera, P.
- Optimization of Two Area Restructured Power System Using Ant Colony Algorithm
Abstract Views :304 |
PDF Views:105
Authors
S. Ganguly
1,
P. Bera
2
Affiliations
1 AE (Electrical), WBSEDCL, West Bengal, IN
2 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
1 AE (Electrical), WBSEDCL, West Bengal, IN
2 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 12 (2013), Pagination: 127-134Abstract
In this paper, ant colony optimization algorithm (ACO) has been applied to design the controller parameters in the automatic generation control (AGC) problem in a two area restructured power system. In the considered power system, the conventional two-area system has been modified to include the effect of bilateral contracts in the system dynamics and each area contains two generation company (GENCO) and two distribution company (DISCO). After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The dynamic responses of the system have been analyzed for different operating conditions considering area control error (ACE) controllers for which the values of the controller parameters have been optimized using ant colony optimization algorithm.Keywords
Automatic Generation Control (AGC), Ant Colony Optimization Algorithm (ACO), Area Control Error (ACE).Full Text
- Design of CPSS for Multimachine Power System Using Simulated Annealing Algorithm considering G-T Dynamics
Abstract Views :311 |
PDF Views:109
Authors
P. Bera
1
Affiliations
1 Department of Electrical Engineering, Kalyani Govt. Engineering College, West Bengal-741235, IN
1 Department of Electrical Engineering, Kalyani Govt. Engineering College, West Bengal-741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 11 (2012), Pagination: 47-49Abstract
In the present work, dynamic stability analysis of power system is investigated using conventional phase lead-lag power system stabilizer (CPSS) for multimachine power system with and without considering governor-turbine (G-T) dynamics. Parameters of CPSS are optimized by minimizing an objective function using simulated annealing algorithm (SA). Analysis reveals that there is a need to consider the G-T dynamics for dynamic stability analysis and CPSS gives better dynamic performances as compared to that of without PSS. Attempt is also made to examine whether gain and parameter settings of CPSS obtained at a particular operating condition works well or not to all other operating conditions. Analysis also reveals that the proposed CPSS works satisfactorily following a transitory three-phase fault.Keywords
Multimachine System, G-T Dynamics, CPSS, Simulated Annealing (SA) Algorithm.Full Text
- An Application of DWT and RBFNN for Fault Location for Single Line to Ground Fault on Hvac Transmission Line
Abstract Views :719 |
PDF Views:149
Authors
Affiliations
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 14 (2015), Pagination: 45-53Abstract
This article demonstrates a technique for diagnosis of fault location on overhead transmission lines for single line to ground fault. The proposed method is based on discrete wavelet transform (DWT) and radial basis function neural network (RBFNN). A number of features have been extracted from faulty signal using DWT and are used for training of RBFNN for fault detection. It has been found that fault locator based on discrete wavelet transform and RBFNN neural network can accurately locate the fault with an average accuracy 2.31%. From the result it can be concluded that the proposed method for fault location estimation for a single line to ground fault (LG fault) is capable of giving results with acceptable accuracy.Keywords
Discrete Wavelet Transform (DWT), Multi-Resolution Analysis (MRA), Radial Basis Function Neural Network, (RBFNN), Single Line to Ground Fault (LG Fault).Full Text
References
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- PI-Based Load Frequency Controller Design for Multi Machine System Using Genetic Algorithm
Abstract Views :395 |
PDF Views:109
Authors
Affiliations
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
1 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 14 (2015), Pagination: 65-74Abstract
The paper presents a systematic method of obtaining a detailed model of control area for automatic generation control (AGC) taking into account the effect of power transmission network. The analysis is carried out considering a 6-bus system and genetic algorithm (GA) is used to optimize the gains of Proportional Integral (P-I) controller for improving the dynamic response of the system. The results show that the dynamic response for frequency deviation improves significantly considering P-I controller optimized using GA.Keywords
Load Frequency Control (LFC), Proportional-Integral (P-I) Controller, Genetic Algorithm (GA).Full Text
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