WSEAS Transactions on Systems and Control


Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 13, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 13, 2018



Application of Cauchy Mutated Memetic Particle Swarm Optimization Algorithm to Economic Dispatch Problem with Practical Constraints

AUTHORS: Venkatesh Kumar Chandrasekaran, Ramesh Babu Muthu

Download as PDF

ABSTRACT: This paper presents a new solution approach to economic dispatch (ED) problems with practical operating constraints using a Cauchy mutated memetic particle swarm optimization (CMMPSO) algorithm. The practical operating constraints such as valve point effect, multiple fuel options, prohibited operating zones, ramp rates of generators and environmental constraints are considered in this paper. ED problems have non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any traditional optimization approaches. The main objective of this paper is to develop a simple, reliable and efficient algorithm for solving the Economic Dispatch problem with multiple practical operating constraints. The proposed CMMPSO algorithm is used to test ED problems with different practical operating constraints. The results of the CMMPSO are compared with the results of Particle Swarm Optimization (PSO) and differential evolutionary algorithm

KEYWORDS: Economic Dispatch, Cauchy Mutated Memetic Particle Swarm Optimization, Multi Fuel, Prohibited Zones, Ramp Rate, Valve Point Effect.

REFERENCES:

[1] C.E.Lin and G.L.Vivani “Hierarchical economic dispatch for piecewise quadratic cost function,” IEEE Trans. on Power App. Syst. Vol. 103, no. 6, 1984, pp. 1170-1175.

[2] D.C.Walters, G.B.Sheble, “Genetic algorithm solution of economic dispatch with valve-point loadings,” IEEE Trans. Power Systems, vol. 8, no. 3, 1993, pp.1325- 1331.

[3] H.T.Yang, P.C.Yang, C.L.Huang “Evolutionary programming based economic dispatch for units with non-smooth incremental fuel cost function,” IEEE Trans. on Power Systems vol.11, no.1, 1996, pp.112 - 118.

[4] K.P.Wong, Y.W.Wong “Genetic and genetic/simulated- annealing approaches to economic dispatch,” IEE proceedings Generation, Transmission and Distribution, vol. 141, no. 5, 1994, pp. 507-513.

[5] Zwe-Lee Gaing “Particle swarm optimization to solving the economic dispatch considering the generator constraints,” IEEE Trans. on Power Systems, vol. 18, no. 3, 2003, pp. 1187-1195.

[6] D.B.Fogel “Evolutionary computation: Toward a new philosophy of machine intelligence,” 2nd ed. Piscataway, NJ: IEEE Press, 2000.

[7] S.Khamsawang, C.Booseng, S.Pothiya “Solving the economic dispatch problem with Tabu search algorithm,” IEEE Int. Conf. on Ind.Technology vol. 1, 2002, pp. 108-112.

[8] Chao-Lung Chiang “Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels,” IEEE Trans. Power Systems, vol.20, no. 4, 2005, pp.1690-1699.

[9] N.Sinha,R.chakrabarti, P.K.Chattopadhyay “Evolutionary programming techniques for economic load dispatch,” IEEE Trans. on Evolutionary Computation, vol. 7, no. 1, 2003, pp. 83-94.

[10] D.Bhagwan Das, C.Patvardhan, “Solution of economic load dispatch using real coded hybrid stochastic search,” Electrical Power Energy System, vol. 21, 1999, pp. 165-170.

[11] P.Attaviriyanupap, H.Kita, E.Tanaka, J.Hasegawa “A hybrid EP and SQP for dynamic economic dispatch with nonsmooth incremental fuelcost function,” IEEE Trans. Power Systems, vol. 17, no. 2, 2002, pp. 411- 416.

[12] S.Baskar, P.Subbaraj, and M.V.C.Rao “Hybrid real coded genetic algorithm solution to economic dispatch problem,” Paragmon, Computers and Electrical Engineering, vol. 29, 2003, pp. 407-419.

[13] J.H.Park, Y.S.Kim, I.K.Ecom, K.Y.Lee “Economic load dispatch for piecewise quadratic cost function using Hopfield neural network,” IEEE Trans. on Power Systems, vol. 8, no.3, 1993, pp. 1030-1038.

[14] K.Y.Lee, A.Sode-Yome, and J.H.Park “Adaptive Hopfield neural network for Economic load dispatch,” IEEE Trans. on Power Systems, vol.13, no. 2, 1998, pp. 519-526.

[15] R.Storn, K.Price, Differential evolution – A simple and efficient heuristic for global optimization over continuous space. Journal of Global Optimization, vol. 11, 1997, pp. 341-359.

[16] R.Balamurugan and S.Subramanian “Self-adaptive Differential evolution Based power economic dispatch of generators with valve point effects and Multiple fuel options” International journal of computer science and engineering Vol.1. No.1 2007,pp. 108-112.

[17] R.C.Eberhart and Y.Shi,”Particle swarm optimization: developments, applications and resources,” proc.congr.Evol.Comput, pp.81–86, 2001.

[18] A.A.Victoire, A.E.Jeyakumar “Discussion of Particle swarm optimization to solving the economic dispatch considering the generator constraints,” IEEE Trans. on Power Systems, vol.19, no. 4, 2004, pp. 2121-2123.

[19] T.Aruldoss Albert Victoria, A.Ebenezer Jeyakumar “Hybrid PSO-SQP for economic dispatch with valve- point effect,” Electric Power System Research, vol. 71, 2004, pp. 51-59.

[20] Jong-Bae Park, Ki-Song Lee, Joong-Rin Shin and Kwang Y.. Lee, “A Particle swarm optimization for economic dispatch with non-smooth cost functions”, IEEE Trans. Power systems Vol 20 No. 1. February 2005,pp 201-207.

[21] Jong-Bae Park, Yun Won Jeong, Hyun-Houng Kim and Joong-Rin Shin” An improved particle swarm optimization for Economic Dispatch with Valve point effect”, International journal of innovations in energy systems and power, Vol 1, No.1 November 2006.

[22] A.Immanuel Selvakumar and K.Thanushkodi,”A New Particle Swarm Optimization Solution To Non – Convex Economic Dispatch Problem”, IEEE Trans.Power Systems, vol.19,no.4,407-419.

[23] Y.G.Petalas, K.E.Parsopoulos and M.N.Vrahatis, “Memetic Particle Swarm Optimization”, Ann Oper Rese, Springer, 156; 99 – 127, 2007.

[24] Raul Perez Guerrero “Differential evolution based power dispatch algorithms” A thesis submitted for the degree of MS in electrical engineering University of Puerto Rico Mayaguez campus, 2004

[25] Wood AJ, Woollenberg BF. Power Generation Operation and Control. 2nd ed. New York; Wiley; 1996.

[26] Hadi Saadat “Power System Analysis”, Tata McGraw- hill edition, 2002.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #10, pp. 80-87


Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

Bulletin Board

Currently:

The editorial board is accepting papers.


WSEAS Main Site