ISO's Optimal Strategies for Scheduling the Hourly Demand Response in Day-Ahead Markets

This paper presents a hierarchical demand response (DR) bidding framework in the day-ahead energy markets which integrates customer DR preferences and characteristics in the ISO's market clearing process. In the proposed framework, load aggregators submit aggregated DR offers to the ISO which w...

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Vydané v:IEEE transactions on power systems Ročník 29; číslo 6; s. 2636 - 2645
Hlavní autori: Parvania, Masood, Fotuhi-Firuzabad, Mahmud, Shahidehpour, Mohammad
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.11.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This paper presents a hierarchical demand response (DR) bidding framework in the day-ahead energy markets which integrates customer DR preferences and characteristics in the ISO's market clearing process. In the proposed framework, load aggregators submit aggregated DR offers to the ISO which would centrally optimize final decisions on aggregators' DR contributions in wholesale markets. The hourly load reduction strategies include load shifting and curtailment and the use of onsite generation and energy storage systems. The ISO applies mixed-integer linear programming (MILP) to the solution of the proposed DR model in the day-ahead market clearing problem. The proposed model is implemented using a 6-bus system and the IEEE-RTS, and several studies are conducted to demonstrate the merits of the proposed DR model.
AbstractList This paper presents a hierarchical demand response (DR) bidding framework in the day-ahead energy markets which integrates customer DR preferences and characteristics in the ISO's market clearing process. In the proposed framework, load aggregators submit aggregated DR offers to the ISO which would centrally optimize final decisions on aggregators' DR contributions in wholesale markets. The hourly load reduction strategies include load shifting and curtailment and the use of onsite generation and energy storage systems. The ISO applies mixed-integer linear programming (MILP) to the solution of the proposed DR model in the day-ahead market clearing problem. The proposed model is implemented using a 6-bus system and the IEEE-RTS, and several studies are conducted to demonstrate the merits of the proposed DR model.
Author Fotuhi-Firuzabad, Mahmud
Parvania, Masood
Shahidehpour, Mohammad
Author_xml – sequence: 1
  givenname: Masood
  surname: Parvania
  fullname: Parvania, Masood
  email: mparvania@ucdavis.edu
  organization: Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
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  givenname: Mahmud
  surname: Fotuhi-Firuzabad
  fullname: Fotuhi-Firuzabad, Mahmud
  email: fotuhi@sharif.edu
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  givenname: Mohammad
  surname: Shahidehpour
  fullname: Shahidehpour, Mohammad
  email: ms@iit.edu
  organization: Galvin Center for Electr. Innovation, Illinois Inst. of Technol., Chicago, IL, USA
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SubjectTerms Day-ahead scheduling
Energy storage
equivalent load aggregation
hourly demand response
ISO
Load management
Load modeling
Mixed integer linear programming
Power markets
Scheduling
Title ISO's Optimal Strategies for Scheduling the Hourly Demand Response in Day-Ahead Markets
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