PI: Talukdar, Sarosh This task was focused on the development of a next generation computation/simulation tool that may be of use to the emerging industry. A joint effort between Cornell, Sandia, and Carnegie Mellon University, this project involved agent design as well as... 

PI: Tylavsky, Dan The goal of this project is the development of a unified method for generating power system network modeling equivalents with applications to traditional system analysis as well as optimization.


PI: Anderson, Lindsay This project is exploring approximate optimization methods to improve securityconstrained unit commitment (SCUC) by: (a) developing robust scenarioreduction methods with assessment of impact optimality of the SCUC solution; (b) including... 

PI: Chiang, HsiaoDong The objective of the SuperOPF project is to develop a framework that will provide proper allocation and valuation of resources through true cooptimization across multiple scenarios. Instead of solving a sequence of simpler and approximate subproblems... 

PI: Zimmerman, Ray This project is developing modeling and simulation tools that take into account uncertainty in the context of multiperiod scheduling and pricing for wholesale centralized electricity markets—such as those operated by ISO/RTOs. The current focus is on... 

PI: Overbye, Tom This project is developing algorithms to construct equivalent system models that preserve desired attributes and behaviors of an interconnected electric power grid. Special emphasis is placed on applying the algorithm to develop “backbone” equivalents... 

PI: Oh, HyungSeon This project is developing an efficient algorithm to find the global solution to the AC optimal power flow problem for large power systems.


PI: Lesieutre, Bernie The purpose of this study was to determine the best way to incorporate “proxylimits” in a DCOPF to preserve features of the solution of a more detailed ACOPF. Specific voltage and stability limits cannot be directly represented in a DCOPF and are... 

PI: Wang, Zhifang This project is developing approaches for automatically generating hypothetical power grid models that preserve key attributes of real power grids—which can then be used to study issues that affect these grids but do not require provision of sensitive... 

PI: Chiang, HsiaoDong The objective of the SuperOPF project is to develop a framework that will provide proper allocation and valuation of resources through true cooptimization across multiple scenarios. Instead of solving a sequence of simpler and approximate subproblems... 
