Intelligent distributed simulation and control of power plants

Kwang Y. Lee, Mark Perakis, Donald R. Sevcik, N. Iwan Santoso, Gerhard K. Lausterer, Tariq Samad

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper presents summaries of five research and development activities in intelligent distributed simulation and control of power plants which were presented in a panel session of the same name at the IEEE Power Engineering Society Winter Meeting on February 6, 1997 in New York City. Each of the panelists discussed methods of how they have incorporated intelligent systems techniques into their research and development efforts in power plant control. The panel was organized by the Working Group on Intelligent Methods in Station Control, Station Control Subcommittee, and the Energy Development and Power Generation Committee of the IEEE Power Engineering Society.

Original languageEnglish (US)
Pages (from-to)116-123
Number of pages8
JournalIEEE Transactions on Energy Conversion
Volume15
Issue number1
DOIs
StatePublished - Mar 2000

Bibliographical note

Funding Information:
Manuscript received August 20, 1997. This work was supported in part by EPRI, Houston Lighting & Power Company, Texas A&M, Siemens Corporate Research, Honeywell Technology Center, Pennsylvania State University, and NSF under Projects, EID-9212132, INT-9605028, and ECS-9705105. K. Y. Lee is with the Department of Electrical Engineering, Pennsylvania State University, University Park, PA 16802 USA. M. Perakis is with EPRI, 3412 Hillview Ave., Palo Alto, CA 94304-1395 USA. D. R. Sevcik is with the Houston Lighting & Power Co., P.O. Box 1700, Houston, TX 77251-1700 USA. N. I. Santoso and G. K. Lausterer are with Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540 USA. T. Samad is with the Honeywell Technology Center, 3660 Technology Drive, Minneapolis, MN 55418 USA. Publisher Item Identifier S 0885-8969(00)0222-1.

Fingerprint

Dive into the research topics of 'Intelligent distributed simulation and control of power plants'. Together they form a unique fingerprint.

Cite this