Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers

Xiangfeng Wang; Mingyi Hong; Tsung Hui Chang; Meisam Razaviyayn; Zhi-Quan Luo

doi:10.1109/ICASSP.2014.6855109

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers

Xiangfeng Wang
, Mingyi Hong
, Tsung Hui Chang
, Meisam Razaviyayn
, Zhi-Quan Luo

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this work, we consider the joint day-ahead power bidding and load scheduling problem for the smart grid system, in the presence of uncertain energy demand and renewable energy generation. We formulate the problem as a convex stochastic program in which the renewable energy generation and energy demand are modeled as random variables. The objective is to minimize the cost in the day-ahead market as well as the cost due to real-time power imbalance, by simultaneously selecting: 1) the amount of power to buy in the day-ahead market and 2) the schedule for the controllable load. We propose a stochastic alternating direction method of multipliers (S AD-MM) to solve the resulting convex stochastic optimization problem and analyze its convergence. The effectiveness of the proposed approach is demonstrated via numerical experiments using real solar power data.

Original language	English (US)
Title of host publication	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7754-7758
Number of pages	5
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6855109
State	Published - 2014
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy Duration: May 4 2014 → May 9 2014

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/Territory	Italy
City	Florence
Period	5/4/14 → 5/9/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Smart grid
alternating direction method of multipliers
day-ahead power procurement
demand side management
stochastic programming

Publisher link

10.1109/ICASSP.2014.6855109

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Cite this

Wang, X., Hong, M., Chang, T. H., Razaviyayn, M., & Luo, Z.-Q. (2014). Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 7754-7758). Article 6855109 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6855109

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. / Wang, Xiangfeng; Hong, Mingyi; Chang, Tsung Hui et al.
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 7754-7758 6855109 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, X, Hong, M, Chang, TH, Razaviyayn, M & Luo, Z-Q 2014, Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. in 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014., 6855109, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 7754-7758, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6855109

Wang X, Hong M, Chang TH, Razaviyayn M, Luo ZQ. Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 7754-7758. 6855109. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2014.6855109

Wang, Xiangfeng ; Hong, Mingyi ; Chang, Tsung Hui et al. / Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 7754-7758 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "In this work, we consider the joint day-ahead power bidding and load scheduling problem for the smart grid system, in the presence of uncertain energy demand and renewable energy generation. We formulate the problem as a convex stochastic program in which the renewable energy generation and energy demand are modeled as random variables. The objective is to minimize the cost in the day-ahead market as well as the cost due to real-time power imbalance, by simultaneously selecting: 1) the amount of power to buy in the day-ahead market and 2) the schedule for the controllable load. We propose a stochastic alternating direction method of multipliers (S AD-MM) to solve the resulting convex stochastic optimization problem and analyze its convergence. The effectiveness of the proposed approach is demonstrated via numerical experiments using real solar power data.",

keywords = "Smart grid, alternating direction method of multipliers, day-ahead power procurement, demand side management, stochastic programming",

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AU - Luo, Zhi-Quan

PY - 2014

Y1 - 2014

N2 - In this work, we consider the joint day-ahead power bidding and load scheduling problem for the smart grid system, in the presence of uncertain energy demand and renewable energy generation. We formulate the problem as a convex stochastic program in which the renewable energy generation and energy demand are modeled as random variables. The objective is to minimize the cost in the day-ahead market as well as the cost due to real-time power imbalance, by simultaneously selecting: 1) the amount of power to buy in the day-ahead market and 2) the schedule for the controllable load. We propose a stochastic alternating direction method of multipliers (S AD-MM) to solve the resulting convex stochastic optimization problem and analyze its convergence. The effectiveness of the proposed approach is demonstrated via numerical experiments using real solar power data.

AB - In this work, we consider the joint day-ahead power bidding and load scheduling problem for the smart grid system, in the presence of uncertain energy demand and renewable energy generation. We formulate the problem as a convex stochastic program in which the renewable energy generation and energy demand are modeled as random variables. The objective is to minimize the cost in the day-ahead market as well as the cost due to real-time power imbalance, by simultaneously selecting: 1) the amount of power to buy in the day-ahead market and 2) the schedule for the controllable load. We propose a stochastic alternating direction method of multipliers (S AD-MM) to solve the resulting convex stochastic optimization problem and analyze its convergence. The effectiveness of the proposed approach is demonstrated via numerical experiments using real solar power data.

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KW - alternating direction method of multipliers

KW - day-ahead power procurement

KW - demand side management

KW - stochastic programming

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ER -

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers

Abstract

Publication series

Other

UN SDGs

Keywords

Publisher link

Find It

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