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Title: Hybrid robust predictive optimization method of power system dispatch

Abstract

A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.

Inventors:
 [1];  [2];  [1];  [3]
  1. Niskayuna, NY
  2. Ballston Lake, NY
  3. West Glenville, NY
Publication Date:
Research Org.:
General Electric Company (Niskayuna, NY)
Sponsoring Org.:
USDOE
OSTI Identifier:
1026668
Patent Number(s):
7,991,512
Application Number:
11/897,207
Assignee:
General Electric Company (Niskayuna, NY) CHO
DOE Contract Number:  
FC02-05CH11349
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Chandra, Ramu Sharat, Liu, Yan, Bose, Sumit, and de Bedout, Juan Manuel. Hybrid robust predictive optimization method of power system dispatch. United States: N. p., 2011. Web.
Chandra, Ramu Sharat, Liu, Yan, Bose, Sumit, & de Bedout, Juan Manuel. Hybrid robust predictive optimization method of power system dispatch. United States.
Chandra, Ramu Sharat, Liu, Yan, Bose, Sumit, and de Bedout, Juan Manuel. Tue . "Hybrid robust predictive optimization method of power system dispatch". United States. doi:. https://www.osti.gov/servlets/purl/1026668.
@article{osti_1026668,
title = {Hybrid robust predictive optimization method of power system dispatch},
author = {Chandra, Ramu Sharat and Liu, Yan and Bose, Sumit and de Bedout, Juan Manuel},
abstractNote = {A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 02 00:00:00 EDT 2011},
month = {Tue Aug 02 00:00:00 EDT 2011}
}

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