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A novel weight-improved particle swarm optimization algorithm for optimal power flow and economic load dispatch problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00176043" target="_blank" >RIV/68407700:21230/10:00176043 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A novel weight-improved particle swarm optimization algorithm for optimal power flow and economic load dispatch problems

  • Original language description

    The optimization problems of optimal power flow (OPF) and the economic load dispatch (ELD) with valve-point effects in power systems are recently solved by some types of artificial intelligent (AI) algorithms. In this paper, based on improving the function of weight parameters, we present a novel weight-improved particle swarm optimization (WIPSO) method for computing two above problems. To evaluate the accuracy, convergence speed and applicability of the proposed method, we first compare the OPF results of proposed method to those of traditional particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE), ant colony optimization (ACO) methods on the standard IEEE 30-bus system. We second compare our results of ELD problem tothose of classical evolutionary programming (CEP), improved fast evolutionary programming (IFEP), and various improved particle swarm optimization methods on the IEEE 13-unit and 40-unit systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Transmission and Distribution Conference and Exposition, 2010 IEEE PES

  • ISBN

    978-1-4244-6546-0

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    New Orleans

  • Event date

    Apr 19, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article