Optimization and Control of Electric Power Systems
Abstract
The analysis and optimization needs for planning and operation of the electric power system are challenging due to the scale and the form of model representations. The connected network spans the continent and the mathematical models are inherently nonlinear. Traditionally, computational limits have necessitated the use of very simplified models for grid analysis, and this has resulted in either less secure operation, or less efficient operation, or both. The research conducted in this project advances techniques for power system optimization problems that will enhance reliable and efficient operation. The results of this work appear in numerous publications and address different application problems include optimal power flow (OPF), unit commitment, demand response, reliability margins, planning, transmission expansion, as well as general tools and algorithms.
- Authors:
-
- Univ. of Wisconsin, Madison, WI (United States)
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1159823
- Report Number(s):
- DOE-WISC-SC0002319F
- DOE Contract Number:
- SC0002319
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; Power Systems; Optimization
Citation Formats
Lesieutre, Bernard C., and Molzahn, Daniel K. Optimization and Control of Electric Power Systems. United States: N. p., 2014.
Web. doi:10.2172/1159823.
Lesieutre, Bernard C., & Molzahn, Daniel K. Optimization and Control of Electric Power Systems. United States. https://doi.org/10.2172/1159823
Lesieutre, Bernard C., and Molzahn, Daniel K. 2014.
"Optimization and Control of Electric Power Systems". United States. https://doi.org/10.2172/1159823. https://www.osti.gov/servlets/purl/1159823.
@article{osti_1159823,
title = {Optimization and Control of Electric Power Systems},
author = {Lesieutre, Bernard C. and Molzahn, Daniel K.},
abstractNote = {The analysis and optimization needs for planning and operation of the electric power system are challenging due to the scale and the form of model representations. The connected network spans the continent and the mathematical models are inherently nonlinear. Traditionally, computational limits have necessitated the use of very simplified models for grid analysis, and this has resulted in either less secure operation, or less efficient operation, or both. The research conducted in this project advances techniques for power system optimization problems that will enhance reliable and efficient operation. The results of this work appear in numerous publications and address different application problems include optimal power flow (OPF), unit commitment, demand response, reliability margins, planning, transmission expansion, as well as general tools and algorithms.},
doi = {10.2172/1159823},
url = {https://www.osti.gov/biblio/1159823},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 17 00:00:00 EDT 2014},
month = {Fri Oct 17 00:00:00 EDT 2014}
}