A novel mathematical modeling approach to the electric dispatch problem: Case study using Differential Evolution algorithms

Carolina G. Marcelino, Elizabeth F. Wanner, Paulo E.M. Almeida

    Research output: Chapter in Book/Published conference outputConference publication

    Abstract

    Nowadays, the population growth and economic development causes the need for electricity power to increase every year. An unit dispatch problem is defined as the attribution of operational values to each generation unit inside a power plant, given some criteria to be obeyed like the total power to be generated, operational bounds of these units etc. In this context, an optimal dispatch programming for hydroelectric units in energy plants provides a bigger production of electricity to be generated with a minimal water amount. This paper presents an optimization solution for hydroelectric generating system of a plant, using Differential Evolution algorithms. The novel mathematical model proposed and validation of the obtained algorithms will be performed with practical simulation experiments. Throughout the text, the equations and models for the system simulation will be fully described, and the experiments and results will be objectively analysed through statistical inference. Simulation results indicate savings of 6.5 million litres of water for each month of operation using the proposed solution.

    Original languageEnglish
    Title of host publication2013 IEEE Congress on Evolutionary Computation, CEC 2013
    PublisherIEEE
    Pages400-407
    Number of pages8
    ISBN (Print)9781479904549
    DOIs
    Publication statusPublished - 15 Jul 2013
    Event2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Mexico
    Duration: 20 Jun 201323 Jun 2013

    Publication series

    Name2013 IEEE Congress on Evolutionary Computation, CEC 2013

    Conference

    Conference2013 IEEE Congress on Evolutionary Computation, CEC 2013
    Country/TerritoryMexico
    CityCancun
    Period20/06/1323/06/13

    Keywords

    • Differential Evolution Algorithms
    • Optimization
    • Simulation

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