Abstract
Distribution networks are undergoing a fundamental transition due to the expansion of flexible resources as well as renewable energy sources in the system. In this regard, multi-agent structures are developed in modern distribution systems to facilitate the independent operation of local resources. Nevertheless, the non-coordinated operation of independent agents could result in a deviation between the real-time power purchased from transmission network and the day-ahead scheduling. Consequently, this paper aims to provide a novel framework that enables the decentralized management of multi-agent distribution systems, while coordinating the real-time power request and the day-ahead scheduling. In this regard, the alternating direction method of multipliers (ADMM) is taken into account to facilitate the decentralized operation of the multi-agent systems. Furthermore, transactive control signals are employed to exploit the real-time operational scheduling of independent agents in order to minimize the deviation of real-time power exchange and the day-ahead scheduling. Finally, the developed methodology is implemented on the IEEE 37-bus test system in order to analyze the effectiveness of the proposed approach for the operational management of multi-agent distribution systems.
Original language | English |
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Title of host publication | Proceedings of International Conference on Smart Energy Systems and Technologies, SEST 2021 |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9781728176604 |
DOIs | |
Publication status | Published - Sept 2021 |
MoE publication type | A4 Conference publication |
Event | International Conference on Smart Energy Systems and Technologies - Virtual, online, Vaasa, Finland Duration: 6 Sept 2021 → 8 Sept 2021 Conference number: 4 |
Conference
Conference | International Conference on Smart Energy Systems and Technologies |
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Abbreviated title | SEST |
Country/Territory | Finland |
City | Vaasa |
Period | 06/09/2021 → 08/09/2021 |
Keywords
- ADMM
- Distribution system
- Energy management
- Flexible resources
- Multi-agent system
- Resource scheduling
- Transactive Energy