Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing
Abstract The access of distributed units leads to the rapid increase of power network information services, which brings great problems to the centralized dispatch of power system. To improve the efficiency of data processing and the flexibility of each unit dispatching, first, the areas are divided...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.12905 |
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| author | He Jiang Yan Zhao Hang Zhou |
| author_facet | He Jiang Yan Zhao Hang Zhou |
| author_sort | He Jiang |
| collection | DOAJ |
| description | Abstract The access of distributed units leads to the rapid increase of power network information services, which brings great problems to the centralized dispatch of power system. To improve the efficiency of data processing and the flexibility of each unit dispatching, first, the areas are divided according to the load characteristics. An operating framework of distributed power system is presented based on offload strategy of mobile edge computing (MEC) and optimal allocation of computational quantity. Second, a novel hierarchical dispatching model is established based on the optimal configuration of MEC. In each area, the upper model takes the total energy consumption of the MEC server and the operating cost of the power system as the objective to calculate the output of each distributed unit and the computational quantity under the optimal offload strategy. The lower model ensures the complete accommodation of renewable energy and the optimal economic operation of the whole area through the introduction of electric vehicles (EVs) and secondary operation of energy storage systems under the constraint of MEC server computing delay. Third, the screening rules of the MEC system computing mode and the simulation strategies of EVs in different areas are proposed. Finally, the effectiveness and superiority of the model are verified by simulation experiments. |
| format | Article |
| id | doaj-art-1efeedbe0359434298633533fc14a289 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-1efeedbe0359434298633533fc14a2892025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163537355010.1049/rpg2.12905Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computingHe Jiang0Yan Zhao1Hang Zhou2School of Renewable Energy Shenyang Institute of Engineering Shenyang ChinaSchool of Renewable Energy Shenyang Institute of Engineering Shenyang ChinaState Grid Jinzhou Electric Power Supply Company Jinzhou ChinaAbstract The access of distributed units leads to the rapid increase of power network information services, which brings great problems to the centralized dispatch of power system. To improve the efficiency of data processing and the flexibility of each unit dispatching, first, the areas are divided according to the load characteristics. An operating framework of distributed power system is presented based on offload strategy of mobile edge computing (MEC) and optimal allocation of computational quantity. Second, a novel hierarchical dispatching model is established based on the optimal configuration of MEC. In each area, the upper model takes the total energy consumption of the MEC server and the operating cost of the power system as the objective to calculate the output of each distributed unit and the computational quantity under the optimal offload strategy. The lower model ensures the complete accommodation of renewable energy and the optimal economic operation of the whole area through the introduction of electric vehicles (EVs) and secondary operation of energy storage systems under the constraint of MEC server computing delay. Third, the screening rules of the MEC system computing mode and the simulation strategies of EVs in different areas are proposed. Finally, the effectiveness and superiority of the model are verified by simulation experiments.https://doi.org/10.1049/rpg2.12905energy storageoptimal controlPower System Operation and Planningrenewable energy sources |
| spellingShingle | He Jiang Yan Zhao Hang Zhou Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing IET Renewable Power Generation energy storage optimal control Power System Operation and Planning renewable energy sources |
| title | Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| title_full | Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| title_fullStr | Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| title_full_unstemmed | Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| title_short | Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| title_sort | optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing |
| topic | energy storage optimal control Power System Operation and Planning renewable energy sources |
| url | https://doi.org/10.1049/rpg2.12905 |
| work_keys_str_mv | AT hejiang optimaldispatchofdistributedrenewableenergyandenergystoragesystemsviaoptimalconfigurationofmobileedgecomputing AT yanzhao optimaldispatchofdistributedrenewableenergyandenergystoragesystemsviaoptimalconfigurationofmobileedgecomputing AT hangzhou optimaldispatchofdistributedrenewableenergyandenergystoragesystemsviaoptimalconfigurationofmobileedgecomputing |