Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation
Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the ba...
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| Format: | Article |
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Beijing Xintong Media Co., Ltd
2024-02-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024029/ |
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| author | Yi LIU Xin WU |
| author_facet | Yi LIU Xin WU |
| author_sort | Yi LIU |
| collection | DOAJ |
| description | Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted. |
| format | Article |
| id | doaj-art-f9808f6d24674c9e9b4a5db1b34f998c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-f9808f6d24674c9e9b4a5db1b34f998c2025-01-15T02:48:36ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-02-014012414059556150Cloud edge end network resource allocation for thermostatically controlled load aggregation regulationYi LIUXin WUThermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024029/cloud edge end collaborationresource allocationreal time accurate transmissionthermostatically controlled load aggregation |
| spellingShingle | Yi LIU Xin WU Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation Dianxin kexue cloud edge end collaboration resource allocation real time accurate transmission thermostatically controlled load aggregation |
| title | Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| title_full | Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| title_fullStr | Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| title_full_unstemmed | Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| title_short | Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| title_sort | cloud edge end network resource allocation for thermostatically controlled load aggregation regulation |
| topic | cloud edge end collaboration resource allocation real time accurate transmission thermostatically controlled load aggregation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024029/ |
| work_keys_str_mv | AT yiliu cloudedgeendnetworkresourceallocationforthermostaticallycontrolledloadaggregationregulation AT xinwu cloudedgeendnetworkresourceallocationforthermostaticallycontrolledloadaggregationregulation |