Contract design for frequency regulation by aggregations of commercial buildings
Проектирование контрактов для регулирования частоты агрегированными группами коммерческих зданий
2014-09-01
SCID: 54.1/8zamkr7a
Discuss with AI
bilevel optimizationcommercial buildingsenergy aggregationfrequency regulationmixed-integer programming
Figures from the paper
Abstract (AI)
We investigate the contract design problem that an energy aggregator who participates in the wholesale market for Ancillary Services faces. Specifically, we consider a situation in which commercial buildings agree to adjust their heating, ventilation and air conditioning power consumption with respect to a nominal schedule, according to a signal sent by the aggregator. This signal may vary arbitrarily within a certain band, whose (time-varying) width is part of the agreed-upon contract between aggregator and building. In return, the aggregator offers monetary rewards to incentivize the individual buildings. This allows the aggregator to bundle the resulting capacities from different buildings and sell the total capacity in the spot market for frequency regulation. The aggregator's problem is to jointly determine nominal schedules, regulation capacities and monetary rewards to maximize its profit, while ensuring that the individual buildings have an incentive to participate. Assuming that there is no private information, we cast the contract design problem as a bilevel optimization problem, which we in turn reformulate as a mixed-integer program. We further show that if the building does not impose negative externalities on the aggregator, the problem reduces to a Linear Program.
Key Findings
1
Buildings adjust HVAC consumption around nominal schedules in response to aggregator signals constrained within contractually specified, time-varying regulation bands.
2
If buildings impose no negative externalities on the aggregator, the optimization simplifies to a linear program.
3
The aggregator jointly optimizes nominal schedules, regulation capacities, and monetary rewards to maximize profit while ensuring building participation incentives.
4
The paper formulates contract design for aggregating commercial-building HVAC flexibility for wholesale frequency-regulation markets.
5
Under no private information, the contract-design problem is modeled as a bilevel optimization and reformulated as a mixed-integer program.
Research Object
aggregations of commercial buildings providing HVAC demand response for frequency regulation
Research Subject
profit-maximizing contract design involving nominal schedules, regulation capacities, and monetary incentives under building participation constraints
Publication Details
Publication Date
2014-09-01
Journal
Publisher
ISSN
Access Type
Author Information
Download PDF
Subscribe to digest