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New Approach to Optimize Economic Load Dispatch by using Improved Environmental Adaption Method

KrishiKosh

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Title New Approach to Optimize Economic Load Dispatch by using Improved Environmental Adaption Method
 
Creator Amahmad A, Youssef Nagem
 
Contributor Srivastava, Jyoti
 
Subject null
 
Description DOCTOR OF PHYLOSOPHY
IN
ELECTRICAL ENGINEERING
ABSTRACT
The increasing demand for electrical energy has made the electric power systems large and
complex, and because fuel cost is the major part of the variable cost in thermal electrical power
generation, it has become necessary to optimize the methods to solve the economic load dispatch
problem. The economic load dispatch is the process to calculate the generation of the generating
units to minimize the total production cost with satisfying the equality and inequality constraints.
The fuel cost of generation is represented as cost curves and overall calculation minimizes the
operating cost by finding a point where total output of generators equals to total system load that
must be delivered plus losses. The economic load dispatch problem is a highly non linear
optimization problem with number of constraints, thus the economic load dispatch problem
computationally became hard work where the traditional optimization methods were not able to
reach the global minima so to get high quality solution and to get the global minima there must
be used of Evolutionary optimization algorithms. In this thesis work, to investigate different
methods and to improve the quality of the solution by improving the convergence rate and
stability of the solution and reduce the of iteration or the time to reach the minimum cost, five
different methods have been applied to solve economic load dispatch problem to minimize the
cost by considering the generator units output and the control variable. By using the quadratic
programming (QP), simulated annealing algorithm (SAA), Artificial bee colony (ABC), particle
swarm optimization (PSO), Modified particle swarm optimization (MPSO),and Improved
Environmental Adaption method(IEAM) with the help of MATLAB Programming, the
simulations were carried out for IEEE standard six unit test system and twenty unit test
system. From the comparative response it is clear that Improved Environmental Adaption
Method (IEAM) is giving the best response by reducing the fuel cost corresponding to number of
iterations, the solution is very high quality, stable convergence characteristics and very effective
to capture global optimal solution in minimum time and very less number of iteration so it can be
concluded that this optimization technique is the best to solve economic load dispatch.
Keywords— Economic Load Dispatch (ELD), Particle Swarm Optimization (PSO), Thermal
 
Date 2017-11-08T10:13:08Z
2017-11-08T10:13:08Z
2017
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/5810035144
 
Language en
 
Format application/pdf
 
Publisher FACULTY OF ENGINEERING AND TECHNOLOGY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES NAINI, ALLAHABAD-211007