A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study
The increasing number of active energy consumers, also known as energy prosumers, is dramatically changing the electricity system. New products and services that adopt the concept of dynamic pricing are available to the market, where demand and price forecasting are applied to determine schedule loa...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Technologies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7080/12/11/229 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846152379408318464 |
|---|---|
| author | Kostas Siozios |
| author_facet | Kostas Siozios |
| author_sort | Kostas Siozios |
| collection | DOAJ |
| description | The increasing number of active energy consumers, also known as energy prosumers, is dramatically changing the electricity system. New products and services that adopt the concept of dynamic pricing are available to the market, where demand and price forecasting are applied to determine schedule loads and prices. Throughout this manuscript, a novel framework for energy trading among prosumers is introduced. Rather than solving the problem in a centralized manner, the proposed orchestrator relies on a distributed game theory to determine optimal bids. Experimental results validate the efficiency of proposed solution, since it achieves average energy cost reduction of 2×, as compared to the associated cost from the main grid. Additionally, the hardware implementation of the introduced framework onto a low-cost embedded device achieves near real-time operation with comparable performance to state-of-the-art computational intensive solvers. |
| format | Article |
| id | doaj-art-e059d78af36a427fad5cd944cd14149a |
| institution | Kabale University |
| issn | 2227-7080 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj-art-e059d78af36a427fad5cd944cd14149a2024-11-26T18:23:34ZengMDPI AGTechnologies2227-70802024-11-01121122910.3390/technologies12110229A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case StudyKostas Siozios0Department of Physics, Aristotle University of Thessaloniki, 54636 Thessaloniki, GreeceThe increasing number of active energy consumers, also known as energy prosumers, is dramatically changing the electricity system. New products and services that adopt the concept of dynamic pricing are available to the market, where demand and price forecasting are applied to determine schedule loads and prices. Throughout this manuscript, a novel framework for energy trading among prosumers is introduced. Rather than solving the problem in a centralized manner, the proposed orchestrator relies on a distributed game theory to determine optimal bids. Experimental results validate the efficiency of proposed solution, since it achieves average energy cost reduction of 2×, as compared to the associated cost from the main grid. Additionally, the hardware implementation of the introduced framework onto a low-cost embedded device achieves near real-time operation with comparable performance to state-of-the-art computational intensive solvers.https://www.mdpi.com/2227-7080/12/11/229distributed decision makingdynamic energy pricinggame theoryhardware implementationlow complexity |
| spellingShingle | Kostas Siozios A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study Technologies distributed decision making dynamic energy pricing game theory hardware implementation low complexity |
| title | A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study |
| title_full | A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study |
| title_fullStr | A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study |
| title_full_unstemmed | A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study |
| title_short | A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study |
| title_sort | framework for distributed orchestration of cyber physical systems an energy trading case study |
| topic | distributed decision making dynamic energy pricing game theory hardware implementation low complexity |
| url | https://www.mdpi.com/2227-7080/12/11/229 |
| work_keys_str_mv | AT kostassiozios aframeworkfordistributedorchestrationofcyberphysicalsystemsanenergytradingcasestudy AT kostassiozios frameworkfordistributedorchestrationofcyberphysicalsystemsanenergytradingcasestudy |