Abstract
The electrical power system has been facing a fundamental shift of paradigm with the integration of renewable energy sources (RES) and price responsive loads. These changes introduce higher uncertainties and pose implications for both network and market actors. While the network operators face frequent operational challenges in terms of voltage limit violations and network congestions, the market parties need deal with a higher risk of imbalance. In this paper, a dynamic clustering method has been proposed to procure flexibility from the smallscale residential prosumers in order to minimize the imbalance cost. An agent-based coordination mechanism has been adopted to implement a demand response program based on local supply and demand balancing. A bottom-up simulation analysis was performed incorporating 600 residential prosumers. Simulation results indicate that a dynamic and adaptive clustering scheme can efficiently minimize the imabalance cost resulting from wind power forecast errors while maintaining the comfort constraints of the prosumers.
Original language | English |
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Title of host publication | 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) |
Editors | Quan Hao, Anurag Sharma |
Publisher | IEEE Computer Society |
Pages | 459-464 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5386-4291-7 |
DOIs | |
Publication status | Published - 18 Sept 2018 |
Event | 8th IEEE (PES) Innovative Smart Grid Technologies Conference Asia, ISGT Asia 2018 - Singapore, Singapore Duration: 22 May 2018 → 25 May 2018 Conference number: 8 http://sites.ieee.org/isgt-asia-2018/ |
Conference
Conference | 8th IEEE (PES) Innovative Smart Grid Technologies Conference Asia, ISGT Asia 2018 |
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Abbreviated title | ISGT Asia 2018 |
Country/Territory | Singapore |
City | Singapore |
Period | 22/05/18 → 25/05/18 |
Internet address |
Keywords
- Microgrids
- supply and demand
- Clustering algorithms
- power markets
- flexibility
- imbalance market
- dynamic clustering
- Demand response