2013
DOI: 10.1016/j.ijepes.2012.11.001
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A new model for optimal generation scheduling of power system considering generation units availability

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Cited by 29 publications
(9 citation statements)
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References 41 publications
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“…In this direction of constrained optimization problems, there are constraint methods that have been developed and successfully used for the genetic algorithms mainly based on penalty function and preserving of feasibility of a solution. The authors have successfully applied such methods, efficient in solving highly constrained optimization problems, in some of the previous studies [71,72]. Therefore, the applicability of the optimization approach used herein is not questionable in case of constrained STI optimization.…”
Section: Analysis and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this direction of constrained optimization problems, there are constraint methods that have been developed and successfully used for the genetic algorithms mainly based on penalty function and preserving of feasibility of a solution. The authors have successfully applied such methods, efficient in solving highly constrained optimization problems, in some of the previous studies [71,72]. Therefore, the applicability of the optimization approach used herein is not questionable in case of constrained STI optimization.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…An elitist non-dominated sorting GA (NSGA-II) is coded and applied for solving the multi-objective optimization problem herein [1,[70][71][72]. NSGA-II is an elitist GA which was proposed in Ref.…”
Section: The Optimization Toolmentioning
confidence: 99%
“…Two objective functions are considered: the betweenness centrality of a group of edges and the cardinality of the group of edges. Gjorgiev et al (2013) recommended a multiobjective genetic algorithm for scheduling the optimal generation from a power system for which they set three objectives: those of minimizing cost, emissions and unavailability. Jin et al (2013) proposed a multicriteria model based on genetic algorithms to design and operate a wind-based distributed generation with two objective functions: cost and reliability.…”
Section: Approaches In the 2000s And 2010smentioning
confidence: 99%
“…Numerous efforts have emerged to address the environment issues related to environmental impact assessment within the company. A set of qualitative tools such as FMEA [1], Fault Tree Analysis (FTA) [2], and HAZOP [3] are used as well as quantitative models [4][5][6]. It is clearly established that preventive maintenance plays a crucial role in meeting the environmental legislation requirements by limiting and preventing equipment degradation which may lead to environmental damage.…”
Section: Introductionmentioning
confidence: 99%