Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction

Giancarlo Dalle Ave; Iiro Harjunkoski; Sebastian Engell

doi:10.1016/B978-0-444-64241-7.50201-9

Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction

Giancarlo Dalle Ave, Iiro Harjunkoski, Sebastian Engell

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

3 Citations (Scopus)

Abstract

Large consumers’ electricity bills depend on many factors including: different electricity purchasing contracts and markets, deviation penalties, and grid fees. Two key markets are the intraday and the day-ahead markets. On the day-ahead market, the consumer commits to a load of electricity that stacks on top of their longer-term contract commitments. The next day, the consumer must follow this demand profile to avoid paying deviation penalties. The demand curve can be modified on the existing day using the intraday market. A novel demand side response formulation is proposed that considers a two-day horizon for both the intraday and the day-ahead markets by a separate modeling approach. Results show that this formulation can effectively combine intraday and day-ahead market concerns and that the resulting demand profile from the two-day problem is more realistic than current models, which consider only a single-day problem.

Original language	English
Title of host publication	13th International Symposium on Process Systems Engineering
Publisher	Elsevier
Pages	1237-1242
Number of pages	6
Volume	44
ISBN (Print)	978-0-444-64241-7
DOIs	https://doi.org/10.1016/B978-0-444-64241-7.50201-9
Publication status	Published - 1 Jan 2018
MoE publication type	A3 Book section, Chapters in research books
Event	International Symposium on Process Systems Engineering - San Diego, San Diego , United States Duration: 1 Jul 2018 → 5 Jul 2018 Conference number: 13 https://pse2018.org/

Publication series

Name	COMPUTER AIDED CHEMICAL ENGINEERING
Publisher	Elsevier
ISSN (Print)	1570-7946

Conference

Conference	International Symposium on Process Systems Engineering
Abbreviated title	PSE
Country/Territory	United States
City	San Diego
Period	01/07/2018 → 05/07/2018
Internet address	https://pse2018.org/

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10.1016/B978-0-444-64241-7.50201-9

Cite this

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title = "Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction",

abstract = "Large consumers{\textquoteright} electricity bills depend on many factors including: different electricity purchasing contracts and markets, deviation penalties, and grid fees. Two key markets are the intraday and the day-ahead markets. On the day-ahead market, the consumer commits to a load of electricity that stacks on top of their longer-term contract commitments. The next day, the consumer must follow this demand profile to avoid paying deviation penalties. The demand curve can be modified on the existing day using the intraday market. A novel demand side response formulation is proposed that considers a two-day horizon for both the intraday and the day-ahead markets by a separate modeling approach. Results show that this formulation can effectively combine intraday and day-ahead market concerns and that the resulting demand profile from the two-day problem is more realistic than current models, which consider only a single-day problem.",

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Ave, GD, Harjunkoski, I & Engell, S 2018, Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction. in 13th International Symposium on Process Systems Engineering. vol. 44, COMPUTER AIDED CHEMICAL ENGINEERING, Elsevier, pp. 1237-1242, International Symposium on Process Systems Engineering, San Diego , California, United States, 01/07/2018. https://doi.org/10.1016/B978-0-444-64241-7.50201-9

Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction. / Ave, Giancarlo Dalle; Harjunkoski, Iiro; Engell, Sebastian.
13th International Symposium on Process Systems Engineering. Vol. 44 Elsevier, 2018. p. 1237-1242 (COMPUTER AIDED CHEMICAL ENGINEERING).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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T1 - Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction

AU - Ave, Giancarlo Dalle

AU - Harjunkoski, Iiro

AU - Engell, Sebastian

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PY - 2018/1/1

Y1 - 2018/1/1

N2 - Large consumers’ electricity bills depend on many factors including: different electricity purchasing contracts and markets, deviation penalties, and grid fees. Two key markets are the intraday and the day-ahead markets. On the day-ahead market, the consumer commits to a load of electricity that stacks on top of their longer-term contract commitments. The next day, the consumer must follow this demand profile to avoid paying deviation penalties. The demand curve can be modified on the existing day using the intraday market. A novel demand side response formulation is proposed that considers a two-day horizon for both the intraday and the day-ahead markets by a separate modeling approach. Results show that this formulation can effectively combine intraday and day-ahead market concerns and that the resulting demand profile from the two-day problem is more realistic than current models, which consider only a single-day problem.

AB - Large consumers’ electricity bills depend on many factors including: different electricity purchasing contracts and markets, deviation penalties, and grid fees. Two key markets are the intraday and the day-ahead markets. On the day-ahead market, the consumer commits to a load of electricity that stacks on top of their longer-term contract commitments. The next day, the consumer must follow this demand profile to avoid paying deviation penalties. The demand curve can be modified on the existing day using the intraday market. A novel demand side response formulation is proposed that considers a two-day horizon for both the intraday and the day-ahead markets by a separate modeling approach. Results show that this formulation can effectively combine intraday and day-ahead market concerns and that the resulting demand profile from the two-day problem is more realistic than current models, which consider only a single-day problem.

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Industrial Demand Side Management Formulation for Simultaneous Electricity Load Commitment and Future Load Prediction

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