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Title: Distribution Optimal Power Flow With Real-Time Price Elasticity

Abstract

This letter investigates a new class of optimal power flow problem for distribution systems, where elastic loads respond to real-time nodal prices by adjusting their demands. A fixed point iteration algorithm is suggested to identify an equilibrium. A concise criterion is devised to judge convergence.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1466385
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 33; Journal Issue: 1; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
demand response; distribution network; locational marginal price; optimal power flow

Citation Formats

Wei, Wei, Wang, Jianhui, and Wu, Lei. Distribution Optimal Power Flow With Real-Time Price Elasticity. United States: N. p., 2018. Web. doi:10.1109/tpwrs.2017.2691558.
Wei, Wei, Wang, Jianhui, & Wu, Lei. Distribution Optimal Power Flow With Real-Time Price Elasticity. United States. doi:10.1109/tpwrs.2017.2691558.
Wei, Wei, Wang, Jianhui, and Wu, Lei. Mon . "Distribution Optimal Power Flow With Real-Time Price Elasticity". United States. doi:10.1109/tpwrs.2017.2691558.
@article{osti_1466385,
title = {Distribution Optimal Power Flow With Real-Time Price Elasticity},
author = {Wei, Wei and Wang, Jianhui and Wu, Lei},
abstractNote = {This letter investigates a new class of optimal power flow problem for distribution systems, where elastic loads respond to real-time nodal prices by adjusting their demands. A fixed point iteration algorithm is suggested to identify an equilibrium. A concise criterion is devised to judge convergence.},
doi = {10.1109/tpwrs.2017.2691558},
journal = {IEEE Transactions on Power Systems},
issn = {0885-8950},
number = 1,
volume = 33,
place = {United States},
year = {2018},
month = {1}
}