COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT
The work considers the problem of optimising the urban charging infrastructure as a multi-channel mass service system with a queue. Queues at charging stations are due to the shortage of energy resources in the studied region. An algorithm has been developed and implemented to optimise a charging s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Rzeszow University of Technology
2023-12-01
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| Series: | Humanities and Social Sciences |
| Subjects: | |
| Online Access: | https://journals.prz.edu.pl/hss/article/view/1638 |
| _version_ | 1797234172812591104 |
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| author | Nataliia KOSTIAN Mirosław ŚMIESZEK Petro MATEICHYK |
| author_facet | Nataliia KOSTIAN Mirosław ŚMIESZEK Petro MATEICHYK |
| author_sort | Nataliia KOSTIAN |
| collection | DOAJ |
| description | The work considers the problem of optimising the urban charging infrastructure as
a multi-channel mass service system with a queue. Queues at charging stations are due to the shortage of energy resources in the studied region. An algorithm has been developed and implemented to optimise a charging station for electric vehicles based on the criterion of meeting charging demand has been developed and implemented. At the same time, the main parameters of the system during peak hours were taken into account. The algorithm allows to determine the optimal number of chargers at the station depending on the target value of the demand for charging in the customer radius area. To implement the charging station optimisation model, taking into account the requirements of the entrepreneur, an algorithm has been developed to determine the average queue length based on dynamic data structures. The algorithm is based on an object-oriented modeling paradigm and supports the possibility of using variable statistical values that change during the day. The optimisation algorithm in the charging infrastructure development management system at the business level uses parameters obtained at the customer and society levels. Thus, the connection between the levels of management of the development of the urban charging infrastructure and the possibility of their consistent application has been proven. |
| first_indexed | 2024-04-24T16:27:51Z |
| format | Article |
| id | doaj.art-23bd3becd48e406d868e7b0c72998bc4 |
| institution | Directory Open Access Journal |
| issn | 2300-5327 2300-9918 |
| language | English |
| last_indexed | 2024-04-24T16:27:51Z |
| publishDate | 2023-12-01 |
| publisher | Rzeszow University of Technology |
| record_format | Article |
| series | Humanities and Social Sciences |
| spelling | doaj.art-23bd3becd48e406d868e7b0c72998bc42024-03-30T12:36:56ZengRzeszow University of TechnologyHumanities and Social Sciences2300-53272300-99182023-12-01304 - part 215316210.7862/rz.2023.hss.691638COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENTNataliia KOSTIAN0Mirosław ŚMIESZEK1Petro MATEICHYK2National Transport University, KyivRzeszow University of TechnologyNational Transport University, KyivThe work considers the problem of optimising the urban charging infrastructure as a multi-channel mass service system with a queue. Queues at charging stations are due to the shortage of energy resources in the studied region. An algorithm has been developed and implemented to optimise a charging station for electric vehicles based on the criterion of meeting charging demand has been developed and implemented. At the same time, the main parameters of the system during peak hours were taken into account. The algorithm allows to determine the optimal number of chargers at the station depending on the target value of the demand for charging in the customer radius area. To implement the charging station optimisation model, taking into account the requirements of the entrepreneur, an algorithm has been developed to determine the average queue length based on dynamic data structures. The algorithm is based on an object-oriented modeling paradigm and supports the possibility of using variable statistical values that change during the day. The optimisation algorithm in the charging infrastructure development management system at the business level uses parameters obtained at the customer and society levels. Thus, the connection between the levels of management of the development of the urban charging infrastructure and the possibility of their consistent application has been proven.https://journals.prz.edu.pl/hss/article/view/1638charging infrastructureelectric vehicleoptimisation problemqueuing model |
| spellingShingle | Nataliia KOSTIAN Mirosław ŚMIESZEK Petro MATEICHYK COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT Humanities and Social Sciences charging infrastructure electric vehicle optimisation problem queuing model |
| title | COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT |
| title_full | COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT |
| title_fullStr | COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT |
| title_full_unstemmed | COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT |
| title_short | COORDINATION OF OPTIMISATION TARGETS AT DIFFERENT LEVELS OF CHARGING INFRASTRUCTURE DEVELOPMENT MANAGEMENT |
| title_sort | coordination of optimisation targets at different levels of charging infrastructure development management |
| topic | charging infrastructure electric vehicle optimisation problem queuing model |
| url | https://journals.prz.edu.pl/hss/article/view/1638 |
| work_keys_str_mv | AT nataliiakostian coordinationofoptimisationtargetsatdifferentlevelsofcharginginfrastructuredevelopmentmanagement AT mirosławsmieszek coordinationofoptimisationtargetsatdifferentlevelsofcharginginfrastructuredevelopmentmanagement AT petromateichyk coordinationofoptimisationtargetsatdifferentlevelsofcharginginfrastructuredevelopmentmanagement |