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SECURITY-CONSTRAINED UNIT COMMITMENT

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
17264
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
17264
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: SECURITY-CONSTRAINED UNIT COMMITMENT
Agency: NSF
Contract: N/A
Award Amount: $50,000.00
 

Abstract:

THE OBJECTIVE OF THE RESEARCH IS TO DEVELOP SCHEDULING ALGORITHMS FOR ELECTRIC GENERATION THAT ACCOUNT DIRECTLY FORSYSTEM SECURITY REQUIREMENTS. VIRTUALLY ALL ALGORITHMS IN USE CURRENTLY DO NOT OPTIMIZE GENERATING UNIT COMMITMENT DECISIONS AGAINST SECURITY REQUIREMENTS FROM THE OUTSET AND YIELD, THEREFORE, SUBOPTIMAL RESULTS WHEN THE COMMITMENT DECISIONS MUST BE ADJUSTED TO COMPLY WITH THESE REQUIREMENTS. UTILITIES CAN OBTAIN SIGNIFICANTLY BETTER RESULTS IF THEY USE OPTIMAL SCHEDULING ALGORITHMS THAT COMPLY DIRECTLY WITH SECURITY REQUIREMENTS. WHILE ALGORITHMS OF THIS TYPE HAD SEVERE COMPUTATIONAL REQUIREMENTS FIVE-TO-TEN YEARS AGO, RECENT ADVANCES IN NETWORK PROGRAMMING HAVE NOW MADE THESE ALGORITHMS MORE ATTRACTIVE. WE PROPOSE TO DEMONSTRATE THE PRACTICAL FEASIBILITY OF A NEW ALGORITHM FOR SOLVING THE SECURITY-CONSTRAINED UNIT SCHEDULING PROBLEM. THE INNOVATION OF OUR APPROACH IS TO CAPTURE THE SYSTEM SECURITY REQUIREMENTS WITHIN A NETWORK FLOW SUBPROBLEM THAT IS SOLVED IN CONJUNCTION WITH THE UNIT COMMITMENT PROBLEM. IN PHASE ONE OF THIS EFFORT WE WILL DEVELOP A PROTOTYPE IMPLEMENTATION OF THIS METHOD BY INTEGRATING A STATE-OF-THE-ART NETWORK FLOW ALGORITHM INTO AN ADVANCED UNIT COMMITMENT ALGORITHM. WE WILL DEMONSTRATE THE COST SAVINGS POSSIBLE WITH THIS ALGORITHM ON REALISTIC TEST CASES USING REPRESENTATIVE UTILITY DATA.

Principal Investigator:

Dr John J Shaw
6172733388

Business Contact:

Small Business Information at Submission:

Alphatech Inc
50 Mall Road Burlington, MA 01803

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No