Load Flexibility for Price based Demand Response

Md Umar Hashmi 1, 2
2 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
Abstract : We propose a framework to utilize load flexibility to be operated in a window of flexibility considering the price variations. The consumer inputs the window of flexibility, the period of operation and nominal power consumption trajectory governed by the load. We create a load shift matrix and minimize the cost of consumption of operating the device. For some devices such as electric vehicle, the nominal power consumption trajectory can be altered provided the total energy consumed in the window of flexibility is matched. The new power consumption trajectory can be found using profile steering. We also show that under the price taker assumption, the optimal control of aggregate of flexible loads is equivalent to optimally controlling each of the loads individually. Using real data from Pecan Street [1] and ERCOT wholesale market price [2] we conduct numerical experiment showing the efficacy of the proposed mechanism of performing price based demand response (DR).
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

Cited literature [19 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01911254
Contributor : Md Umar Hashmi <>
Submitted on : Friday, November 2, 2018 - 3:39:00 PM
Last modification on : Friday, April 19, 2019 - 4:54:57 PM
Long-term archiving on: Sunday, February 3, 2019 - 1:11:40 PM

File

IEEE_PES_format_DATA_Paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01911254, version 1

Collections

Citation

Md Umar Hashmi. Load Flexibility for Price based Demand Response. 2018. ⟨hal-01911254⟩

Share

Metrics

Record views

171

Files downloads

218