Published August 2010 | Version v1
Journal article

Optimal dynamic economic dispatch of generation: A review

  • 1. Centre of New Energy Systems, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002 (South Africa)

Description

This paper presents a review of the research of the optimal power dynamic dispatch problem. The dynamic dispatch problem differs from the static economic dispatch problem by incorporating generator ramp rate constraints. There are two different formulations of this problem in the literature. The first formulation is the optimal control dynamic dispatch (OCDD) where the power system generation has been modeled as a control system and optimization is done in the optimal control setting with respect to the ramp rates as input variables. The second one is a later formulation known as the dynamic economic dispatch (DED) where optimization is done with respect to the dispatchable powers of the committed generation units. In this paper we first outline the two formulations, then present an overview on the mathematical optimization methods, Artificial Intelligence (AI) techniques and hybrid methods used to solve the problem incorporating extended and complex objective functions or constraints. The DED problem in deregulated electricity markets is also reported. (author)

Availability note (English)

Available from Available from: http://dx.doi.org/10.1016/j.epsr.2009.12.012

Additional details

Identifiers

Publishing Information

Journal Title
Electric Power Systems Research
Journal Volume
80
Journal Issue
8
Journal Page Range
p. 975-986
ISSN
0378-7796
CODEN
EPSRDN

INIS

Country of Publication
Netherlands
Country of Input or Organization
Netherlands
INIS RN
41071645
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION;
Descriptors DEI
ARTIFICIAL INTELLIGENCE; COMPLEXES; CONTROL SYSTEMS; ELECTRICITY; FUNCTIONS; HYBRIDIZATION; MARKET; OPTIMAL CONTROL; OPTIMIZATION; POWER GENERATION; POWER SYSTEMS; REVIEWS
Descriptors DEC
CONTROL; DOCUMENT TYPES; ENERGY SYSTEMS

Optional Information

Notes
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