ECONOMIC LOAD DISPATCH WITH VALVE-POINT EFFECT USING ARTIFICIAL BEE COLONY ALGORITHM



INTRODUCTION
the economic load dispatch is an important real time
problem, in properly allocating the real power demand
among the online generating units. Traditional optimization
techniques such as the lambda iteration method, gradient
method, the linear programming method and Newton’s
method are used to solve the ED problem with monotonically
increasing cost f ....etc

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INTRODUCTION
Economic dispatch is one of the most important optimization
problems in power system operation and forms the basis of
many application programs. Conventional methods employ
the widely used Lagrangian approach. However in the case of
segmented piece-wise quadratic function, corresponding to the
valve point loading or mixed fuel fired inputs, conventional
approach fails to obtain an optimal solution. In this context,
several approaches have been proposed using non-conventional
optimization approaches, including artif ....etc

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Combined Economic and Emission Dispatch using RBF neural network

Under the guidance of
Dr. N. Subrahmanyam
Presented by
B. Shiva Kumar

Topics
¢ Introduction
¢ CEED
¢ RBF
¢ Algorithms
¢ OVERALL PROCESS DESCRIPTION
¢ CEED USING LAMBDA TECHNIQUE
¢ CLUSTERING TECHNIQUE
¢ CEED USING RBF
¢ Case studies
¢ 3GEN
¢ 6GEN
¢ 15GEN
¢ Conclusion




Introduction of work
¢ Formulatin ....etc

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Abstract

This paper presents an adaptive Hopfield neural network (AHNN) based methodology, where the slope of the activation function is adjusted, for finding approximate Pareto solutions for the multi-objective optimization problem of emission and economic load dispatch (EELD).We have placed emphasis on finding solutions quickly, rather than the global Pareto solutions, so that our algorithm can be employed in large on-line power systems where variations in load are quite frequent. To ena ....etc

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Economic dispatch using fuzzy logic

Abstract

A Fuzzy logic based solution for emission constraint economic dispatch is demonstrated in this
work. The aim of this work is to minimize the fuel cost of operation of an interconnected power system
with emission constraints. This non-linear constrained multi-object optimization solution has been
solved by other investigator using AI computation methods. These solutions though provided a global
optimal value, are not suitable for ....etc

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....etc

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A New Intelligence Solution for Power System Economic Load Dispatch


INTRODUCTION
ECONOMIC load dispatch (ELD) is an important task in
the modern Energy Management System (EMS), which
aims to allocate power generation to match load demand at
minimal possible cost while satisfying all the power units and
system constraints . Small improvements in the unit output
scheduling can contribute to significant cost savings.
Furthermore, it provides useful info ....etc

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Economic Dispatch with Environmental Considerations Using Marginal Rate of Substitution Decision Approach
Abstract
In this paper, a new decision approach is proposed for the incorporation of the carbon dioxideemission constraints in the solution of the unit commitment (UC) problem. An efficient particle swarmoptimization (PSO) algorithm is used for generating the fuel cost versus emission tradeoff function forCarbon Dioxide emission; the marginal rate of substitution (MRS) is then calculated to help the managersmore rationally determi ....etc

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