USA flag logo/image

An Official Website of the United States Government

High-Performance Nonlinear Optimization Software for Power Applications

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
98656
Solicitation Year:
2012
Solicitation Topic Code:
02 d
Solicitation Number:
DE-FOA-0000577
Small Business Information
Ziena Optimization Inc.
1801 Maple Ave. Evanston, IL 60201-3149
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: High-Performance Nonlinear Optimization Software for Power Applications
Agency: DOE
Contract: DE-FG02-12ER90229
Award Amount: $148,080.00
 

Abstract:

Problems of large-scale nonlinear optimization are central to the solution of difficult and novel problems that arise from the need to distribute electric power in the most efficient and reliable way. In recognition of the importance of optimization in this area, DOE & apos;s Office of Advanced Scientific Computing (ASCR) has made substantial investments in research that have led to powerful, robust software for very general classes of nonlinear optimization problems. There remains however a substantial need to extend and adapt these efforts to better take advantage of high-performance computing (HPC) and to unlock their value for new users. Power industry optimization is a particularly promising area for such an undertaking, in light of the complex decisions involved and the challenges of changing costs and technologies. We propose to focus on two complementary areas of investigation to meet this need. First, we will re-engineer nonlinear optimization software, previously developed with ASCR support, so as to take advantage of high-performance computing (HPC) concepts that address energy efficiency problems too large for current codes. Second, we will adapt and focus software technology from previous work for ASCR to address the specific needs of real-time power grid applications, in which HPC techniques are needed in order to re-optimize very quickly a large number of problems of similar structure. Both of these initiatives will strengthen the internals of algorithms to give the software wider applicability in HPC settings and to better deal with greatly increased problem size due to uncertainty. This work will be of direct public benefit by enabling scarce and costly resources to be used much more effectively for purposes of power distribution. The first area of investigation will be applied in particular to optimal power flow with contingencies and to short-term stochastic dispatch for systems with a high level of renewable penetration. The second area will be applied in improving grid short-term management, from both technical and economic stand- points, particularly in taking full advantage of new demand side management and generation technologies to reduce costs and environmental impact subject to security constraints.

Principal Investigator:

Richard Waltz
Dr.
847-894-8384
waltz@ziena.com

Business Contact:

Richard A. Waltz
Dr.
847-894-8384
waltz@ziens.com
Small Business Information at Submission:

Ziena Optimization LLC
1801 Maple Avenue Evanston, IL 60201-3149

EIN/Tax ID: 273314218
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No