A Review on Genetic Algorithm and Its Application in Power System Engineering

Bisht, Vimal Singh; Joshi, Navneet; Jethi, Govind Singh; Bhakuni, Abhijit Singh

doi:10.1007/978-981-15-7571-6_5

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…In [30], a comprehensive review of the genetic algorithm and its application in electrical power systems engineering is presented.…”

Section: Genetic Algorithms Used To Solve Optimization Problemsmentioning

confidence: 99%

Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

Vargas,

Mosquera,

Trujillo

2024

Electronics

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This article addresses a comprehensive analysis of power electrical systems, employing a combined approach of genetic algorithms and mathematical optimization through nonlinear programming with discontinuous derivatives (DNLP) in GAMS. The primary objective is to minimize economic losses and associated costs faced by the network operator following disruptive events. The analysis is divided into two fundamental aspects. Firstly, it addresses the topological reconfiguration of the network, involving the addition of lines and distributed energy resources such as distributed generation. To determine the optimal topological reconfiguration, a genetic algorithm was developed and implemented. This approach aims to restore electrical service to the maximum load within the system. Secondly, an optimal energy dispatch was performed for each generator, considering the variation in load throughout the day. The system’s load curve is taken into account to determine the optimal energy distribution. Thus, the problem of economic losses is approached from two perspectives: the minimization of costs due to nonsupplied electrical energy and the determination of efficient energy dispatch for each generator after network reconfiguration. For the analysis and case studies, simulations were conducted on the IEEE 9- and 30-node test systems. The results demonstrate the effectiveness of the proposed solution, evaluated in terms of reduced load shedding and economic losses.

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“…In [30], a comprehensive review of the genetic algorithm and its application in electrical power systems engineering is presented.…”

Section: Genetic Algorithms Used To Solve Optimization Problemsmentioning

confidence: 99%

Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

Vargas,

Mosquera,

Trujillo

2024

Electronics

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“…Currently, GA have gained significant popularity, as evidenced by the work of [6]. These algorithms draw inspiration from the biological process of evolution and prove particularly valuable for tackling search and optimization challenges in extensive and continuous search domains [7]. The effectiveness of GA extends notably to scheduling problems due to its ability to swiftly and effectively navigate intricate solution spaces [8].…”

Section: Introductionmentioning

confidence: 99%

The Effectiveness of Genetic Algorithm, And the CDS Method In Solving Flowshop Scheduling Problems

Prassetiyo,

Heryati

2024

E3S Web Conf.

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Flow shop scheduling problem is considered NP-hard for m machines and n jobs. For such NP-hard combinatorial optimization problems, heuristics play a major role in searching for near-optimal solutions. In this paper we used Genetic Algorithm, and the CDS method for solving flow shop scheduling problem with makespan as the criteria. The objective of this model is to obtain a sequence of jobs and the minimization of the total completion time (makespan). To test the effectiveness of the method, a dataset of case studies is used to compare the makespan values obtained for each method.

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A new approach for balanced power distribution in energy sources with minimal fuel consumption on diesel-electric vessels

Yiğit

2022

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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A Review on Genetic Algorithm and Its Application in Power System Engineering

Cited by 3 publications

References 45 publications

Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

The Effectiveness of Genetic Algorithm, And the CDS Method In Solving Flowshop Scheduling Problems

A new approach for balanced power distribution in energy sources with minimal fuel consumption on diesel-electric vessels

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