scholarly journals Optimization Methods for Electric Power Systems: An Overview

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
R. C. Bansal
Keyword(s):  
Artificial Intelligence ◽  
Power Systems ◽  
Electric Power ◽  
Power Optimization ◽  
Optimization Problems ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Electric Power Systems ◽  
Unexpected Events ◽  
Large Complex

Power systems optimization problems are very difficult to solve because power systems are very large, complex, geographically widely distributed and are influenced by many unexpected events. It is therefore necessary to employ most efficient optimization methods to take full advantages in simplifying the formulation and implementation of the problem. This article presents an overview of important mathematical optimization and artificial intelligence (AI) techniques used in power optimization problems. Applications of hybrid AI techniques have also been discussed in this article.

scholarly journals Optimization of modes of the electric power systems by genetic algorithms

2020 ◽  
Vol 216 ◽  
pp. 01099
Author(s):  
Behzod Pulatov ◽  
Shanazarov Alisher
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Power Systems ◽  
Electric Power ◽  
Shortest Path ◽  
Optimization Problems ◽  
Electric Power Systems ◽  
Data Filtering ◽  
Path Search ◽  
Shortest Path Search

In article discusses issues for solving optimization problems based on the use of genetic algorithms. Nowadays, the genetic algorithms for solving various problems. This includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the population, etc.

scholarly journals Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems

2019 ◽  
Vol 114 ◽  
pp. 03002 ◽  
Author(s):  
D.V. Iakubovskii ◽  
D.S. Krupenev ◽  
D.A. Boyarkin
Keyword(s):  
Power Systems ◽  
Differential Evolution ◽  
Electric Power ◽  
Optimization Methods ◽  
Electric Power Systems ◽  
Point Of View ◽  
Software Systems ◽  
Tuning Parameters ◽  
Gradient Optimization ◽  
Power Deficit

Based on the experience of domestic and foreign researchers, it is known that there are various mathematical models, software systems, and optimization methods used to solve the set tasks for assessing the resource adequacy of electric power systems (EPS). However, the continuous development of EPS leads to the complication and integration of systems against the background of which it becomes necessary to take into account an increasing number of its elements and parameters in one task. Thus, for more effective (in terms of speed and accuracy) solutions of modified models, it is required to analyze and search the most appropriate set of optimization methods. In this connection, the purpose of this study is to analyze the applicability and the effectiveness of applying the method of differential evolution and gradient optimization methods for the model of minimizing the power deficit, which should be also compared. The article considers the analysis of the results of the work that optimization methods, studies were conducted on a test isolated EPS, with various tuning parameters. As a result, it was confirmed that these methods could be used to solve the problem. From the point of view of accuracy and resources expended on calculations, the most efficient among the implemented methods was the method of differential evolution, which was confirmed by numerical experiments on the small systems.

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