Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/8179
Title: Comparison of the Lagrange's and particle swarm optimisation solutions of an economic emission dispatch problem with transmission constraints
Authors: Krishnamurthy, Senthil 
Tzoneva, Raynitchka 
Keywords: Power system optimization;energy management system;economic emission dispatch;lagrange's algorithm;particle swarm optimization
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: Krishnamurthy, S. & Tzoneva, R. 2012. Comparison of the Lagrange's and particle swarm optimisation solutions of an economic emission dispatch problem with transmission constraints. 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Bengaluru, India, 16-19 December. [https://ieeexplore.ieee.org/document/6484295]
Conference: 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 
Abstract: The power demand is increased rapidly and hence the power systems become more complex, so it is necessary to solve the dispatch problem with less computation time. This paper uses the optimization approach (Lagrange's) and random variables selection approach Particle Swarm Optimisation (PSO) to solve the dispatch problem with transmission constraints and to compare the obtained solution and the time for its calculation. Formulation of a bi-criteria Combined Economic Emission Dispatch (CEED) problem is given. The application of Lagrange's and PSO methods to the CEED problem is described and the algorithms for calculations are given. The computational time of the Lagrange's algorithm depends on the selection of the initial values of the Lagrange's variable (λ), and on the swarms, positions, and velocity selection in PSO algorithm. The IEEE 30 bus system is considered to validate the simulation results in MATLAB environment. It concludes that Lagrange's algorithm provides better results for CEED problem in comparison to the PSO algorithm.
URI: https://ieeexplore.ieee.org/document/6484295
http://hdl.handle.net/11189/8179
ISBN: 9781467345088
Appears in Collections:Eng - Conference Papers

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