@inproceedings{8c56d9bb638845d4baa2fc214eb62f75,
title = "Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers",
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",
author = "Xiangfeng Wang and Mingyi Hong and Chang, \{Tsung Hui\} and Meisam Razaviyayn and Luo, \{Zhi Quan\}",
year = "2014",
doi = "10.1109/ICASSP.2014.6855109",
language = "英语",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7754--7758",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
address = "美国",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}
