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

Content Provider	IEEE Xplore Digital Library
Author	Xiangfeng Wang Mingyi Hong Tsung-Hui Chang Razaviyayn, M. Zhi-Quan Luo
Copyright Year	2014
Description	Author affiliation: Deptartment of Math., Nanjing Univ., Nanjing, China (Xiangfeng Wang) \|\| Dept. of Elec. & Compt. Eng., Nat. Taiwan Univ. of Sci. & Tech., Taipei, Taiwan (Tsung-Hui Chang) \|\| Dept. of Electr. & Compt. Eng., Univ. of Minnesota, Minneapolis, MN, USA (Mingyi Hong; Razaviyayn, M.; Zhi-Quan Luo)
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.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	7754
Ending Page	7758
File Size	673337
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6855109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Acoustics Speech Speech processing alternating direction method of multipliers Smart grid day-ahead power procurement demand side management stochastic programming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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