检索结果-南通市图书馆

Sequential Approach with Matrix Framework for Various Types of Economic Thermal Power Dispatch Problems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and Power Engineering 2010年第2期2卷 111-121页

作者： srikrishna subramanian Ganesan Sivarajan Department of Electrical Engineering FEAT Annamalai University

This paper presents a sequential approach with matrix framework for solving various kinds of economic dispatch problems. The objective of the economic dispatch problems of electrical power generation is to schedule the committed generating units output so as to meet the required load demand while satisfying the system equality and inequality constraints. This is a maiden approach developed to obtain the optimal dispatches of generating units for all possible load demands of power system in a single execution. The feasibility of the proposed method is demonstrated by solving economic load dispatch problem, combined economic and emission dispatch problem, multiarea economic dispatch problem and economic dispatch problem with multiple fuel options. The proposed methodology is tested with different scale of power systems. The generating unit operational constraints are also considered. The simulation results obtained by proposed methodology for various economic dispatch problems are compared with previous literatures in terms of solution quality. Numerical simulation results indicate an improvement in total cost saving and hence the superiority of the proposed method is also revealed for economic dispatch problems.

关键词： Combined Economic and Emission Dispatch Composite Cost Function Economic Dispatch Multiarea Economic Dispatch Multiple Fuel Options Prohibited Operating Zone Ramp Rate Limits Sequential Approach Transmission Loss

Composite Cost Function Based Solution to the Unit Commitment Problem

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Smart Grid and Renewable Energy 2010年第2期1卷 88-97页

作者： srikrishna subramanian Radhakrishnan Anandhakumar 不详

This paper presents a new approach via composite cost function to solve the unit commitment problem. The unit com-mitment problem involves determining the start-up and shut-down schedules for generating units to meet the fore-casted demand at the minimum cost. The commitment schedule must satisfy the other constraints such as the generating limits, spinning reserve, minimum up and down time, ramp level and individual units. The proposed algorithm gives the committed units and economic load dispatch for each specific hour of operation. Numerical simulations were carried out using three cases: four-generator, seven-generator, and ten-generator thermal unit power systems over a 24 h period. The produced schedule was compared with several other methods, such as Dynamic programming, Branch and bound, Ant colony system, and traditional Tabu search. The result demonstrated the accuracy of the proposed method.

关键词： Composite Cost Function Generation Scheduling Unit Commitment

Bacterial Foraging Algorithm based Parameter Estimation of Three WINDING Transformer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and Power Engineering 2011年第2期3卷 135-143页

作者： srikrishna subramanian Seeni Padma 不详

Transformers are one of the main components of any power system. An accurate estimation of system be-haviour, including load flow studies, protection, and safe control of the system calls for an accurate equiva-lent circuit parameters of all system components such as generators, transformers, etc. This paper presents a methodology to estimate the equivalent circuit parameters of the Three Winding Transformer (TWT) using Bacterial Foraging Algorithm (BFA). The estimation procedure based on load test data at one particular op-erating point namely supply voltage, load currents, input power. The performance characteristics, such as efficiency and voltage regulation are considered along with the name plate data in order to minimize the er-ror between the estimated and measured data. The estimation procedure is demonstrated with a sample three winding transformer and the results are compared against the directly measured performance of TWT and genetic algorithm optimization results. The simulation results show the ability of the proposed technique to capture the true values of the machine parameters and the superiority of the results obtained using the bacte-rial foraging algorithm.

关键词： Parameter Estimation Three Winding Transformer Bacterial Foraging Algorithm

Preferred Economic Dispatch of Thermal Power Units

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Power and Energy Engineering 2015年第11期3卷 47-69页

作者： Selvaraj Durai srikrishna subramanian Sivarajan Ganesan Department of Electrical Engineering Annamalai University Chidambaram India

Economic Dispatch (ED) problem is one of the main concerns of the power generation operations which are basically solved to generate optimal amount of power from the generating units in the system by minimizing the fuel cost and by satisfying the system constraints. The accuracy of ED solutions is highly influenced by the fuel cost parameters of the generating units. Generally, the parameters are subjected to transform due to aging process and other external issues. Further the parameters associated with the transmission line modelling also change due to aforementioned issues. The loss coefficients which are the functions of transmission line parameters get altered from the original value over a time. Hence, the periodical estimation of these coefficients is highly essential in power system problems for obtaining ideal solutions for ED problem. Estimating the ideal parameters of the ED problem may be the best solution for this issue. This paper presents the Teaching Learning Based Optimization (TLBO) algorithm to estimate the parameters associated with ED problem. The estimation problem is formulated as an error minimization problem. This work provides a frame work for the computation of coefficients for quadratic function, piecewise quadratic cost function, emission function, transmission line parameters and loss coefficients. The effectiveness of TLBO is tested with 2 standard test systems and an Indian utility system.

关键词： Parameter Estimation Cost Coefficients Emission Coefficients Error Estimation Transmission Line Parameters Teaching Learning Based Optimization

Analysis and Design of Derivative Free Filters against Derivative Based Filter on the Simulated Model of a Three Phase Induction Motor

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and Power Engineering 2010年第2期2卷 78-89页

作者： Ravikumar Jagadeesan srikrishna subramanian Prakash Jagadeesan Department of Electrical Engineering Annamalai University Department of Instrumentation Engineering Madras Institute of Technology Anna University

Recursive state estimation methods have aroused substantial attraction among many researchers and in particular, the drives research fraternity has shown increased interest in recent years. State estimators that surrogate direct measurements play an integral part in the operation of modern a.c. drives. Their robustness and accuracy are very much decisive for the performance of the drive. In this paper, a comparative analysis of the three nonlinear filtering schemes to estimate the states of a three phase induction motor on the simulated model is presented. The efficacy of Ensemble Kalman Filter (EnKF) against the traditional Jacobian based Filter or Extended Kalman Filter (EKF) and almost forbidden, hitherto least-attempted Unscented Kalman Filter (UKF) is very much exemplified. Theoretical aspects and comparative simulation results are investigated comprehensively with respect to three different scenarios viz., step changes in load torque, speed reversal, and low speed operation. Also, “Monte Carlo Simulation” runs have been exploited very extensively to show the superior practical usefulness of EnKF, by which the minimum mean square error (MMSE), which is often used as the performance index, ostensibly gets mitigated very radically by the proposed approach. The results throw light on alleviating the intrinsic intricacies encountered in EKF in parlance with the observer theory.

关键词： Ensemble Kalman Filter [EnKF] Extended Kalman Filter [EKF] Three Phase Induction Motor [IM] State Estimation Unscented Kalman Filter [UKF]

A Novel Part-Winding Starting Method for 4-Pole Squirrel Cage Induction Motor

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Engineering（科研） 2010年第6期2卷 445-452页

作者： Vadugapalayam Ponnuvel Sakthivel Ramachandran Bhuvaneswari srikrishna subramanian 不详

the paper has been removed due to the authors' personal reason.

关键词： Induction Motor Starting Part-Winding Starting Starting Torque Starting Current

Economic Design of Three-Phase Induction Motor by Particle Swarm Optimization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Electromagnetic Analysis and Applications 2010年第5期2卷 301-310页

作者： Vadugapalayam P. Sakthivel Ramachandran Bhuvaneswari srikrishna subramanian 不详

A Particle Swarm Optimization (PSO) based design of three-phase induction motors are proposed. The induction motor design is treated as a non-linear and multivariable constrained optimization problem. The annual material cost and the total annual cost of the motor are chosen as two different objective functions. The PSO is used to find a set of optimal design variables of the motor which are then used to predict performance indices and the objective functions. The proposed method is demonstrated for two sample motors, and it is compared with the genetic algorithm (GA) and the conventional design methods. The results show that the PSO-based method effectively solved the induction motor design problems and outperforms the other methods in both the solution quality and computation efficiency.

关键词： Design Optimization Induction Motor Particle Swarm Optimization

Composite Cost Function Based Solution to the Unit Commitment Problem

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Bacterial Foraging Algorithm Based Parameter Estimation of Three Winding Transformer

Smart Grid and Renewable Energy（智能电网与可再生能源） 2010年第2期

作者： srikrishna subramanian Radhakrishnan Anandhakumar

来源：评论

学校读者我要写书评

暂无评论