Name
Abstract | ||
|---|---|---|
Balancing electricity supply and consumption improves stability and performance of an electricity Grid. Demand-Response (DR) mechanisms are used to optimize energy consumption patterns by shifting non-critical electrical energy demand to times of low electricity demand (off-peak). Market penetration of electrical loads from Electrical Vehicles (EVs) has significantly increased residential demand, with a direct impact on the grid’s performance and effectiveness. By using multi-agent planning and scheduling algorithms such as Parallel Monte-Carlo Tree Search (P-MCTS) in DR, EVs can coordinate their actions and reschedule their consumption pattern. P-MCTS has been used to decentralize consumption planning, scheduling the optimum consumption pattern for each EV. However, a lack of coordination and collaboration limits its reliability in emergent situations, since agents’ sub-optimal solutions are not guaranteed to aggregate to an optimized overall grid solution. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.comcom.2016.04.020 | Computer Communications |
Keywords | Field | DocType |
Multi-agent collaboration,Negotiation,Monte-Carlo Tree Search,Demand Response,Load balancing | Market penetration,Scheduling (computing),Load balancing (computing),Computer science,Demand response,Real-time computing,Mains electricity,Energy consumption,Grid,Negotiation | Journal |
Volume | ISSN | Citations |
96 | 0140-3664 | 2 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fatemeh Golpayegani | 1 | 2 | 0.74 |
| Ivana Dusparic | 2 | 75 | 20.37 |
| Adam Taylor | 3 | 9 | 1.67 |
| Siobhán Clarke | 4 | 699 | 87.36 |