skip to main content
10.1145/3310986.3311003acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicmlscConference Proceedingsconference-collections
research-article

Application of Improved Differential Evolution Algorithm for Economic and Emission Dispatch of Thermal Power Generation Plants

Published: 25 January 2019 Publication History

Abstract

This paper applies improved differential evolution (IDE) algorithm to optimize electricity genenation sources in order to minimize the cost of generation and gas emission with the condition of keeping constraints of power balance and power limits. The conventional DE method is also applied for comparing and make clarification the efficiency of the IDE. The DE and IDE alogorithms are applied on the standar IEEE 30 bus test system. The simulation results of proposed method are compared with those of the conventional DE approach which showing that is efficient for solving the economic and emission dispatch problems.

References

[1]
Park, J.B.; Lee, K.S.; & Lee, K.W. 2005. A particle swarm optimization for economic dispatch with nonsmooth cost function. IEEE Trans. Power Systems, 12 (1), 34--42.
[2]
Lee, S.C. & Kim, Y.H. 2002. An enhanced Lagrangian neural network for the ELD problems with piecewise quadratic cost functions and nonlinear constraints. Electric Power Systems Research, 60, 167--177.
[3]
Whei, M.L.; Hong, J.G. & Ming, T.T. 2007. A partition approach algorithm for nonconvex economic dispatch. Elect. Power and Energy Systems, 29, 432--438.
[4]
Jayabarathi, T.; Jayaprakash, K.; Jeyakumar, D.N. & Raghunathan, T. 2005. Evolutionary programming techniques for different kinds of economic dispatch problems. Electric Power Systems Research, 73, 169--176.
[5]
Nasimul, N. & Hitoshi, I. 2008. Differential evolution for economic load dispatch problems. Electric Power Systems Research, 78, 1322--1331.
[6]
Balamurugan, R. & Subramanian, S. 2007. Self-Adaptive Differential Evolution Based Power Economic Dispatch of Generators with Valve-Point Effects and Multiple Fuel Options. World Academy of Science, engineering and technology 27.
[7]
Subramanian, S.; Senior member IEEE & Ganesana, S. 2010. A Simplified Approach for Economic Dispatch with Piecewise Quadratic Cost Functions. International Journal of Computer and Electrical Engineering, 2 (5), 1793--816.
[8]
Park, J.H.; Kim, Y.S.; Eom, I.K. & Lee, K.Y. 1993. Economic load dispatch for piecewise quadratic cost function using Hopfield neural network. IEEE Trans. Power Systems, 8 (3), 1030--1038.
[9]
Lee, K.Y.; Sode-Yome, A. & Park, J.H. 1998. Adaptive Hopfield neural networks for economic load dispatch. IEEE Trans. Power Systems, 13 (2), 519--526.
[10]
Park, Y.M.; Wong, J.R. & Park, J.B. 1998. A new approach to economic load dispatch based on improved evolutionary programming. Eng. Intell. Syst. Elect. Eng Commun., 6(2), 103--110.
[11]
Roa-Sepulveda, C.A.; Salazar-Nova, E.R.; Gracia-Caroca, E.; Knight, U.G. & Coonick, A. 1996. Environmental Economic Dispatch via Hopfield Neural Network and Taboo Search. UPEC'96 Universities Power Engineering Conference, 1996, Crete, Greece.
[12]
Emmanuel Dartey Manteaw, Nicodemus Abungu Odero. 2012. Multi-objective Enviromental/Economic Dispatch Solution Using ABC-PSO Hybrid Algorithm. International Journal of Scientific and Research Publications, Volume 2, Issue 12, 1--7.
[13]
Song, Y.H.; Wang, G.S.; Wang, P.Y. & Johns, A.T. 1997. Environmental/econoimic dispatch using fuzzy logic controlled genetic algorithm. IEE Proc-Gener. Transm. Distrib, 44, 377--382.
[14]
Harry, C.S.; Rughooputh & Robert, T.F.A.K. 2003. Environmental/Economic Dispatch of Thermal Units using an Elitist Multiobjective Evolutionary Algorithm. Industrial Technology, 2003 IEEE International Conference in Maribor, 2003, Slovenia 1, 48--53.
[15]
Thao, N.T.P. & Thang, N.T. 2014. Environmental Economic Load Dispatch with Quadratic Fuel Cost Function Using Cuckoo Search Algorithm. International Journal of u-and e-Service, Science and Technology, 7 (2), 199--210.
[16]
Kulkarni, P.S.; Kothari, A.G. & Kothari, D.P. 2000. Combined economic and emission dispatch using improved back-propagation neural network. Electric Power Comp Syst., 28, 31--44.
[17]
Storn, R. & Price, K. Differential Evolution- a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report, ICSI, 95--012.
[18]
Kenneth, V.P. 1996. Differential Evolution: A Fast and Simple Numerical Optimizer. Fuzzy Information Processing Society, Biennial Conference of the North American, 1996, 524--527.

Cited By

View all
  • (2023)A novel differential evolution algorithm for economic power dispatch problemNumerical Algebra, Control and Optimization10.3934/naco.202104213:1(28-44)Online publication date: 2023

Index Terms

  1. Application of Improved Differential Evolution Algorithm for Economic and Emission Dispatch of Thermal Power Generation Plants

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICMLSC '19: Proceedings of the 3rd International Conference on Machine Learning and Soft Computing
    January 2019
    268 pages
    ISBN:9781450366120
    DOI:10.1145/3310986
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 January 2019

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. AHNN (Adaptive Hopfield Neural Network)
    2. DE (Differential Evolution)
    3. EP (Evolution Program)
    4. HNN (Hopfield Neural Network)
    5. PAA (Partition Approach Algorithm)

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICMLSC 2019

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)A novel differential evolution algorithm for economic power dispatch problemNumerical Algebra, Control and Optimization10.3934/naco.202104213:1(28-44)Online publication date: 2023

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media