Policy-Driven Distributed and Collaborative Demand Response in Multi-Domain Commercial Buildings
Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of the emerging Smart Grid. We first point out why the current model, of EMS-based centralized control of a static repositor...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2010
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/665 https://ink.library.smu.edu.sg/context/sis_research/article/1664/viewcontent/p119_misra.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of the emerging Smart Grid. We first point out why the current model, of EMS-based centralized control of a static repository of high load appliances, is inappropriate for supporting DR in future commercial buildings and campuses, where the consuming appliances are controlled by multiple users. To enable DR in such multi-domain environments, we envision a more collaborative and autonomous model, where a large set of heterogeneous smart electrical devices autonomously self-organize and negotiate their collective DR. Enabling this vision requires the development of new networking primitives for autonomic, hierarchical overlay formation, new energy profiles that can represent aggregate characteristics of groups of devices and new hierarchical distributed optimization techniques. |
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