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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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Number of pages
7
Pages from-to
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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
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