Distributed gradient descent for solving optimal power flow in radial networks
Abstract
Node controllers and power distribution networks in accordance with embodiments of the invention enable distributed power control. One embodiment includes a node controller comprising a memory containing: a plurality of node operating parameters; and a plurality of node operating parameters describing operating parameters for a set of at least one node selected from the group consisting of at least one downstream node and at least one upstream node; wherein the processor is configured by the node controller application to: receive and store in memory a plurality of coordinator parameters describing operating parameters of a node coordinator by the network interface; and calculate updated node operating parameters using an iterative gradient projection process to determine updated node parameters using node operating parameters that describe operating parameters of node and operating parameters of the set of at least one node, where each iteration is determined by the coordinator parameters.
- Inventors:
- Issue Date:
- Research Org.:
- California Institute of Technology (CalTech), Pasadena, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1497692
- Patent Number(s):
- 10158229
- Application Number:
- 14/818,203
- Assignee:
- California Institute of Technology (Pasadena, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
- DOE Contract Number:
- AR000022
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2015 Aug 04
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Gan, Lingwen, and Low, Steven H. Distributed gradient descent for solving optimal power flow in radial networks. United States: N. p., 2018.
Web.
Gan, Lingwen, & Low, Steven H. Distributed gradient descent for solving optimal power flow in radial networks. United States.
Gan, Lingwen, and Low, Steven H. Tue .
"Distributed gradient descent for solving optimal power flow in radial networks". United States. https://www.osti.gov/servlets/purl/1497692.
@article{osti_1497692,
title = {Distributed gradient descent for solving optimal power flow in radial networks},
author = {Gan, Lingwen and Low, Steven H.},
abstractNote = {Node controllers and power distribution networks in accordance with embodiments of the invention enable distributed power control. One embodiment includes a node controller comprising a memory containing: a plurality of node operating parameters; and a plurality of node operating parameters describing operating parameters for a set of at least one node selected from the group consisting of at least one downstream node and at least one upstream node; wherein the processor is configured by the node controller application to: receive and store in memory a plurality of coordinator parameters describing operating parameters of a node coordinator by the network interface; and calculate updated node operating parameters using an iterative gradient projection process to determine updated node parameters using node operating parameters that describe operating parameters of node and operating parameters of the set of at least one node, where each iteration is determined by the coordinator parameters.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 18 00:00:00 EST 2018},
month = {Tue Dec 18 00:00:00 EST 2018}
}
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