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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 Ali, Youssef Nagem
 
Contributor Shrivastava, Jyoti
 
Subject null
 
Description Ph. d thesis
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.
 
Date 2017-11-16T08:41:18Z
2017-11-16T08:41:18Z
2017
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/5810035846
 
Language en
 
Format application/pdf
 
Publisher FACULTY OF ENGINEERING AND TECHNOLOGY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES NAINI, ALLAHABAD-211007 2017