Abstract
The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes a Simulated Annealing (SA) approach to determine the ERM considering an intensive use of DERs, mainly EVs. In this paper, the possibility to apply Demand Response (DR) programs to the EVs is considered. Moreover, a trip reduce DR program is implemented. The SA methodology is tested on a 32-bus distribution network with 2000 EVs, and the SA results are compared with a deterministic technique and particle swarm optimization results
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 7th International Conference on Intelligent System Applications to Power Systems |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 2013 |
| Publication status | Published - 2013 |
| Event | 17th International Conference on Intelligent Systems Application to Power Systems - Tokyo, Japan Duration: 1 Jul 2013 → 4 Jul 2013 http://www.isc.meiji.ac.jp/~hmori/isap2013/ |
Conference
| Conference | 17th International Conference on Intelligent Systems Application to Power Systems |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 01/07/2013 → 04/07/2013 |
| Internet address |
Keywords
- Demand Response
- Electric Vehicle
- Energy Resource Management
- Simulated annealing
