2005
DOI: 10.1016/j.ijepes.2004.12.006
|View full text |Cite
|
Sign up to set email alerts
|

Application of evolutionary programming to security constrained economic dispatch

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
12
0

Year Published

2007
2007
2015
2015

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 51 publications
(12 citation statements)
references
References 17 publications
0
12
0
Order By: Relevance
“…This disadvantage causes the method to have long simulation time and large number of trial runs. The methods in the evolutionary algorithms group are derived from the evolutionary progress including genetic algorithm (GA) [26,27], evolutionary programming (EP) [3,28], and differential evolution algorithm (DE) [29,30]. Among these methods, GA is the method early applied for solving optimization problems in engineering field, especially in electrical engineering.…”
Section: Introductionmentioning
confidence: 99%
“…This disadvantage causes the method to have long simulation time and large number of trial runs. The methods in the evolutionary algorithms group are derived from the evolutionary progress including genetic algorithm (GA) [26,27], evolutionary programming (EP) [3,28], and differential evolution algorithm (DE) [29,30]. Among these methods, GA is the method early applied for solving optimization problems in engineering field, especially in electrical engineering.…”
Section: Introductionmentioning
confidence: 99%
“…Since security is the most crucial aspect of a system operator's planning and operation of a power system, security tools and practices are commonly used, such as security-constrained unit commitment (SC-UC) or security-constrained optimal power flow (SCOPF) [9][10][11][12]. Since the security problem becomes more critical due to larger uncertainties in wind energy-integrated power systems, the existing P-OPF has to be developed to involve security constraints, such as limits for the transmission line flow and bus voltage.…”
Section: Introductionmentioning
confidence: 99%
“…Several Optimization techniques such as lambda iteration ,linear programming(LP), non-linear programming(NLP), quadratic programming(QP) and interior point method(IPM) [4], the GA [5], GA Combined with Simulated annealing [6] are employed for solving the economic dispatch problem.…”
Section: Introductionmentioning
confidence: 99%