Methods of calculating the strength of electric component of electromagnetic field in difficult conditions

Andreev, Pavel; Yakimov, A. N.; Yurkov, N. К.; Кочегаров, И. И.; Grishko, А. К.

doi:10.1109/apede.2016.7878895

Cited by 12 publications

(5 citation statements)

References 1 publication

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“…Thus, the algorithm can be tuned to search for a global extremum. Series of experiments have been conducted to test the algorithm efficiency, and compare it with known algorithms [8][9][10][11]. It has been found that the suggested algorithm is less sensitive, compared to others, to optimal values of its own parameters.…”

Section: Discussionmentioning

confidence: 99%

“…The guided search vector will show the expert possible direction for changing the weighting factors so as to achieve the desired result. Usually, at the early stages an expert does ton have the information on the efficient and optimal combination of weighting factors, or this information is quite limited [3,8,9]. Due to this, at the early search stages several points are randomly chosen from the set D , and the next search steps follow the suggested algorithm [6,10,11].…”

Section: Developing the Search For Optimal Solution Proceduresmentioning

confidence: 99%

“…Fx is conducted as follows [6,9]. In space C  from 1 m sampling points 1 m independent sampling vectors are chosen:…”

Section: The Search Algorithmmentioning

confidence: 99%

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Control algorithm for decision making in multi-criteria optimization problems

Grishko

2022

J. Phys.: Conf. Ser.

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The main feature of the multi-criteria optimization of the design processes of complex electronic devices is that they are all interconnected, heterogeneous in nature and, as a rule, non-linear. That is, by changing some of them by varying the corresponding parameters, we inevitably change other parameters of the system, and not always in the right direction. The purpose of the work is to propose a way to organize the procedure for finding the optimal solution to multicriteria design problems. When developing and creating new schemes, structures and systems, the task of determining the optimal values of the parameters of the designed technical device or system is reduced to the task of finding the extremum of a certain function, called the quality function. Usually, it is a non-linear function of many independent variables, which, as a rule, cannot be investigated by analytical methods. In this situation, it is advisable to search for a solution to the problem using special algorithms. At the early stages of designing complex radio electronic devices, an algorithm for finding the optimal solution based on the application of search optimization theory methods is proposed. The paper describes the procedure for finding the optimal solution, the distinctive feature of which is that during the search for a solution, information is accumulated and a search direction vector is constructed. This vector offers options for changing weights for subsequent search procedures. The algorithm developed on its basis is used in the information system for the complex analysis of the designs of radio-electronic facilities. The use of random search provides the algorithm with global properties, reduces the number of objective function calculations by one step, which is especially noticeable with a large number of optimized parameters. Allows you to quite simply include any restrictions on the set of valid values of the vector of optimized parameters, which is not always possible when using regular search methods. The proposed algorithm is simply tuned to search for a global extremum by selecting the appropriate parameters. For each specific case, there are some optimal ratios of the values of these algorithm parameters, which, when searching for a solution, reduce the number of working steps. The developed algorithm is less critical to the optimal values of its own parameters, which makes it much easier to tune it when solving practical problems of optimizing design processes.

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Section: Discussionmentioning

confidence: 99%

Section: Developing the Search For Optimal Solution Proceduresmentioning

confidence: 99%

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Control algorithm for decision making in multi-criteria optimization problems

Grishko

2022

J. Phys.: Conf. Ser.

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“…When evaluating the amount of energy losses per transmission with one substation positioned in the cenre of energy loads it will be supposed that each receiver is connected to the source by a single feeder. In practice, this mode is not applied, it can be used, however, for comparison and evaluation of losses [8,[12][13][14].…”

Section: Evaluation Of Energy Lossesmentioning

confidence: 99%

“…2. Distribution of power density when 15 σ = mThe peak of the resultant surface is projected onto the conventional centre of energy loads according to the description of the method[7,[9][10][11][12]. The volume of the resultant surface is equal the sum of volumes under the surfaces shown inFig.1.…”

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confidence: 99%

Optimizing the Positioning of Power Sources in Industrial Units Electrical Power Systems on the Basis of the Method of Distributed Power Density

Goryachev¹,

Grishko²,

Yurkov³

et al. 2018

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" (AIME 2018)

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The article analyzes the electrical power system of a machine construction workshop where optimal positioning of power sources (power substation, distribution points) has to be determined so as to lower the metal consumption. The goal of the work is to develop a model of an efficient electrical power system at an industrial unit employing the method of distributed power density, developed by the authors. This method will help to determine the position of power sources. The amount of energy losses per power transmission and the metal consumption of the system were used as optimization criteria.The suggested method is based on the presentation of each surface load in the form of solids of revolution, limited by planes produced by the multiple of the basic function and the load power. The results were analyzed by means of substituting the group of consumers by an equivalent consumer and determining the radius of diffusion.The method of distributed power density allows to design the system of power supply with better characteristics in terms of minimal losses per power transmission and minimal metal consumption. The suggested method can be used in designing the power systems of industrial units and larger geographical areas. This method will help to determine the best position for reactive power compensators, the installation of which will help to minimize the losses in the system, increase the quality of the power supplied to the consumer unit. Keywords-electrical power supply, substation, energy losses, metal consumption, conventional centre of energy loads.The research has been realized at the expense of the grant of the Russian Science Foundation (the project № 17-79-10281 from 24.07.2017).

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Research on gradient characteristics and its prediction method of induction heating asphalt concrete

Zou

et al. 2021

Construction and Building Materials

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Methods of calculating the strength of electric component of electromagnetic field in difficult conditions

Cited by 12 publications

References 1 publication

Control algorithm for decision making in multi-criteria optimization problems

Control algorithm for decision making in multi-criteria optimization problems

Optimizing the Positioning of Power Sources in Industrial Units Electrical Power Systems on the Basis of the Method of Distributed Power Density

Research on gradient characteristics and its prediction method of induction heating asphalt concrete

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