Abstract
We study the problem of incentivizing reliable demand-response in modern electricity grids. Each agent is uncertain about her future ability to reduce demand and unreliable. Agents who choose to participate in a demand-response scheme may be paid when they respond and penalized otherwise. The goal is to reliably achieve a demand reduction target while selecting a minimal set of agents from those willing to participate. We design incentivealigned, direct and indirect mechanisms. The direct mechanism elicits both response probabilities and costs, while the indirect mechanism elicits willingness to accept a penalty in the case of non-response. We benchmark against a spot auction, in which demand reduction is purchased from agents when needed. Both the direct and indirect mechanisms achieve the reliability target in a dominant-strategy equilibrium, select a small number of agents to prepare, and do so at low cost and with much lower variance in payments than the spot auction.
Original language | English |
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Title of host publication | Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16) |
Pages | 352-358 |
Number of pages | 7 |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States Duration: 9 Jul 2016 → 15 Jul 2016 Conference number: 25 http://ijcai-16.org |
Conference
Conference | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 |
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Abbreviated title | IJCAI 2016 |
Country/Territory | United States |
City | New York |
Period | 9/07/16 → 15/07/16 |
Internet address |
Funding
Parkes is supported by the SEAS TomKat fund, Li by NSF CAREER 1553407, and Robu by EPSRC EP/P001173/1: Centre for Energy Systems Integration
Funders | Funder number |
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National Science Foundation | 1553407 |
Engineering and Physical Sciences Research Council | EP/P001173/1 |