Campus Units

Economics, Electrical and Computer Engineering

Document Type

Conference Proceeding

Conference

2016 IEEE Power and Energy Society General Meeting (PESGM)

Publication Version

Submitted Manuscript

Link to Published Version

http://dx.doi.org/10.1109/PESGM.2016.7741553

Publication Date

2016

Journal or Book Title

Proceedings of the 2016 IEEE Power and Energy Society General Meeting (PESGM)

DOI

10.1109/PESGM.2016.7741553

Conference Title

2016 IEEE Power and Energy Society General Meeting (PESGM)

Conference Date

July 17-21, 2016

City

Boston, MA, USA

Abstract

The need for flexible service provision has dramatically increased in recent years due to the increased penetration of variable energy resources, as has the need to ensure fair access to service provision from an increasingly diverse array of resources. In response to these needs, this study develops a new analytic optimization formulation for the clearing of day-ahead markets based on swing contracts for the combined flexible provision of energy and reserve services. This new optimization formulation is a mixed integer linear programming (MILP) problem that can be solved using standard MILP solution software. A numerical day-ahead market example is presented to illustrate the potential of this new optimization formulation for real-world implementation.

Comments

© 2016 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. doi: 10.1109/PESGM.2016.7741553.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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Article Location

 
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