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http://elar.urfu.ru/handle/10995/101973
Название: | The use of Petri computing networks for optimization of the structure of distribution networks to minimize power losses |
Авторы: | Asanov, M. Kokin, S. Asanova, S. Satarkulov, K. Dmitriev, S. Safaraliev, M. |
Дата публикации: | 2020 |
Издатель: | Elsevier Ltd |
Библиографическое описание: | The use of Petri computing networks for optimization of the structure of distribution networks to minimize power losses / M. Asanov, S. Kokin, S. Asanova, et al. — DOI 10.1016/j.egyr.2020.11.024 // Energy Reports. — 2020. — Vol. 6. — P. 1337-1343. |
Аннотация: | The paper suggests a self-organizing multi-component computational algorithm as a solution to the problem of optimizing the structure of distribution electrical networks to minimize the loss of power. The suggested algorithm is consistent with the method of branches and borders and uses the apparatus of the Petri computer networks (PCN) apparatus. The PCN apparatus has a universal computational capability to process symbolic-numeric data, which along with the solution of calculating problems, provides for the structural and logical analysis of the systems and processes under study. The structure of the PCN based algorithm is similar to the studied system, which provides for better visualization and convenience of interpretation, modification, and implementation of this algorithm on one or more computers by paralleling computational processes for better system performance. Computing modules within the general text of the algorithm can be arranged in any given order and solve the problem by organizing themselves in the process of functioning. © 2020 |
Ключевые слова: | ALGORITHM COMPUTATIONAL MODULES DISTRIBUTION ELECTRICAL NETWORKS GRAPH LOSS OF ELECTRICITY OPTIMIZATION OF NETWORK STRUCTURE PETRI NETWORKS ENERGY MANAGEMENT ENERGY RESOURCES COMPUTATIONAL ALGORITHM COMPUTATIONAL CAPABILITY COMPUTATIONAL PROCESS ELECTRICAL NETWORKS LOGICAL ANALYSIS MULTICOMPONENTS SYMBOLIC NUMERICS SYSTEMS AND PROCESS STRUCTURAL OPTIMIZATION |
URI: | http://elar.urfu.ru/handle/10995/101973 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85098205345 |
Идентификатор WOS: | 000604392100183 |
Идентификатор PURE: | 3f07a838-ad17-4987-864f-a47ac2e4bf23 20413379 |
ISSN: | 23524847 |
DOI: | 10.1016/j.egyr.2020.11.024 |
Сведения о поддержке: | The reported research was partly funded by Russian Foundation for Basic Research and the government of the Yamal region of the Russian Federation , grant No. 19-48-890001. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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2-s2.0-85098205345.pdf | 547,65 kB | Adobe PDF | Просмотреть/Открыть |
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