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- Publisher Website: 10.1109/PESGM.2016.7741812
- Scopus: eid_2-s2.0-85001752372
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Conference Paper: A price-based demand response scheduling model in day-ahead electricity market
| Title | A price-based demand response scheduling model in day-ahead electricity market |
|---|---|
| Authors | |
| Keywords | social welfare Day-ahead scheduling demand response demand variation price-elastic demand bid |
| Issue Date | 2016 |
| Publisher | IEEE. |
| Citation | IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, 17-21 July 2016 How to Cite? |
| Abstract | The variation of power consumption on the demand side is a challenging issue for the real time balancing of power systems. To tackle this problem, various demand response programs have been introduced to help the Independent System Operator (ISO) in mitigating the demand fluctuation. Typically, they include demand curtailment programs and price responsive demand programs. This paper presents a scheduling model at the day-ahead stage incorporating the price-based demand bidding that enables the price-elastic feature of demand. The bidding mechanism is visualized and the mathematical representation of the scheduling model are presented. By simulating the model on the IEEE 30-bus system, it is shown that integrating price-elastic demand bids into day-ahead scheduling can effectively reduce the demand to average demand ratio. In addition, the proposed model not only brings surplus to the participating load serving entities (LSEs), but also increase the social welfare of the power system. |
| Persistent Identifier | http://hdl.handle.net/10722/253795 |
| ISSN | 2020 SCImago Journal Rankings: 0.345 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Duan, Q | - |
| dc.date.accessioned | 2018-05-29T07:09:25Z | - |
| dc.date.available | 2018-05-29T07:09:25Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, 17-21 July 2016 | - |
| dc.identifier.issn | 1944-9933 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/253795 | - |
| dc.description.abstract | The variation of power consumption on the demand side is a challenging issue for the real time balancing of power systems. To tackle this problem, various demand response programs have been introduced to help the Independent System Operator (ISO) in mitigating the demand fluctuation. Typically, they include demand curtailment programs and price responsive demand programs. This paper presents a scheduling model at the day-ahead stage incorporating the price-based demand bidding that enables the price-elastic feature of demand. The bidding mechanism is visualized and the mathematical representation of the scheduling model are presented. By simulating the model on the IEEE 30-bus system, it is shown that integrating price-elastic demand bids into day-ahead scheduling can effectively reduce the demand to average demand ratio. In addition, the proposed model not only brings surplus to the participating load serving entities (LSEs), but also increase the social welfare of the power system. | - |
| dc.language | eng | - |
| dc.publisher | IEEE. | - |
| dc.relation.ispartof | IEEE Power and Energy Society General Meeting (PESGM) | - |
| dc.rights | IEEE Power and Energy Society General Meeting (PESGM). Copyright © IEEE. | - |
| dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | social welfare | - |
| dc.subject | Day-ahead scheduling | - |
| dc.subject | demand response | - |
| dc.subject | demand variation | - |
| dc.subject | price-elastic demand bid | - |
| dc.title | A price-based demand response scheduling model in day-ahead electricity market | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/PESGM.2016.7741812 | - |
| dc.identifier.scopus | eid_2-s2.0-85001752372 | - |
| dc.identifier.hkuros | 281184 | - |
| dc.publisher.place | Boston, MA | - |
| dc.identifier.issnl | 1944-9925 | - |